From 44317fb0e913b961efc30b54507b0459049f98c1 Mon Sep 17 00:00:00 2001 From: Maciej Czajka Date: Mon, 20 Jun 2022 18:39:28 +0200 Subject: [PATCH] update table in k-medoids (iris) --- kmedoids.ipynb | 2603 ++++++++++++++++++++++++------------------------ 1 file changed, 1302 insertions(+), 1301 deletions(-) diff --git a/kmedoids.ipynb b/kmedoids.ipynb index 89ad790..d93041c 100644 --- a/kmedoids.ipynb +++ b/kmedoids.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 20, + "execution_count": 76, "id": "e6e27297", "metadata": {}, "outputs": [], @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 77, "id": "e84b8c18", "metadata": {}, "outputs": [ @@ -77,7 +77,7 @@ "" ] }, - "execution_count": 99, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -171,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 78, "id": "409d4187", "metadata": {}, "outputs": [], @@ -256,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 79, "id": "b42a9194", "metadata": {}, "outputs": [ @@ -279,7 +279,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 80, "id": "15541704", "metadata": {}, "outputs": [ @@ -287,7 +287,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 4 0.28\n" + "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 4 0.34\n" ] } ], @@ -302,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 81, "id": "c29dca2b", "metadata": {}, "outputs": [ @@ -365,7 +365,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 102, "id": "73cffc81", "metadata": { "pycharm": { @@ -516,7 +516,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 84, "id": "4c1f8423", "metadata": {}, "outputs": [ @@ -566,9 +566,9 @@ " 0.08\n", " 0.00\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 1\n", @@ -577,9 +577,9 @@ " 0.08\n", " 0.00\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 2\n", @@ -588,9 +588,9 @@ " 0.63\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 3\n", @@ -599,9 +599,9 @@ " 0.59\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 4\n", @@ -610,9 +610,9 @@ " 0.66\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 5\n", @@ -621,9 +621,9 @@ " 0.51\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 6\n", @@ -632,9 +632,9 @@ " 0.61\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 7\n", @@ -643,9 +643,9 @@ " 0.59\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 8\n", @@ -654,9 +654,9 @@ " 0.63\n", " 0.63\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 9\n", @@ -665,9 +665,9 @@ " 0.39\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 10\n", @@ -676,9 +676,9 @@ " 0.61\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 11\n", @@ -687,9 +687,9 @@ " 0.49\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 12\n", @@ -698,9 +698,9 @@ " 0.42\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 13\n", @@ -709,9 +709,9 @@ " 0.54\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 14\n", @@ -720,9 +720,9 @@ " 0.51\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 15\n", @@ -731,9 +731,9 @@ " 0.63\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 16\n", @@ -742,9 +742,9 @@ " 0.44\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 17\n", @@ -753,9 +753,9 @@ " 0.58\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 18\n", @@ -764,9 +764,9 @@ " 0.59\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 19\n", @@ -775,9 +775,9 @@ " 0.53\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 20\n", @@ -786,9 +786,9 @@ " 0.59\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 21\n", @@ -797,9 +797,9 @@ " 0.49\n", " 0.42\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 22\n", @@ -808,9 +808,9 @@ " 0.64\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 23\n", @@ -819,9 +819,9 @@ " 0.51\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 24\n", @@ -830,9 +830,9 @@ " 0.66\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 25\n", @@ -841,9 +841,9 @@ " 0.63\n", " 0.46\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 26\n", @@ -852,9 +852,9 @@ " 0.56\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 27\n", @@ -863,9 +863,9 @@ " 0.58\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 28\n", @@ -874,9 +874,9 @@ " 0.64\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 29\n", @@ -885,9 +885,9 @@ " 0.59\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 30\n", @@ -896,9 +896,9 @@ " 0.42\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 31\n", @@ -907,9 +907,9 @@ " 0.47\n", " 0.42\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 32\n", @@ -918,9 +918,9 @@ " 0.46\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 33\n", @@ -929,9 +929,9 @@ " 0.49\n", " 0.46\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 34\n", @@ -940,8 +940,8 @@ " 0.69\n", " 0.63\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -951,9 +951,9 @@ " 0.59\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 36\n", @@ -962,9 +962,9 @@ " 0.59\n", " 0.63\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 37\n", @@ -973,8 +973,8 @@ " 0.63\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -984,9 +984,9 @@ " 0.58\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 39\n", @@ -995,9 +995,9 @@ " 0.53\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 40\n", @@ -1006,9 +1006,9 @@ " 0.51\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 41\n", @@ -1017,9 +1017,9 @@ " 0.58\n", " 0.46\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 42\n", @@ -1028,9 +1028,9 @@ " 0.61\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 43\n", @@ -1039,9 +1039,9 @@ " 0.51\n", " 0.46\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 44\n", @@ -1050,9 +1050,9 @@ " 0.39\n", " 0.38\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 45\n", @@ -1061,9 +1061,9 @@ " 0.54\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 46\n", @@ -1072,9 +1072,9 @@ " 0.54\n", " 0.46\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 47\n", @@ -1083,9 +1083,9 @@ " 0.54\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 48\n", @@ -1094,9 +1094,9 @@ " 0.56\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 49\n", @@ -1105,9 +1105,9 @@ " 0.34\n", " 0.42\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", - " 2\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 0\n", " \n", " \n", " 50\n", @@ -1116,8 +1116,8 @@ " 0.53\n", " 0.50\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1127,8 +1127,8 @@ " 0.69\n", " 0.75\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1138,8 +1138,8 @@ " 0.59\n", " 0.67\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1149,8 +1149,8 @@ " 0.68\n", " 0.79\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1160,8 +1160,8 @@ " 0.68\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1171,8 +1171,8 @@ " 0.66\n", " 0.79\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1182,8 +1182,8 @@ " 0.66\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1193,8 +1193,8 @@ " 0.64\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1204,8 +1204,8 @@ " 0.66\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1215,8 +1215,8 @@ " 0.69\n", " 0.58\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1226,8 +1226,8 @@ " 0.78\n", " 0.54\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1237,8 +1237,8 @@ " 0.64\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1248,8 +1248,8 @@ " 0.69\n", " 0.75\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1259,8 +1259,8 @@ " 0.68\n", " 0.75\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", @@ -1270,944 +1270,944 @@ " 0.69\n", " 0.71\n", " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", " 0\n", " \n", " \n", " 65\n", - " 0.67\n", - " 0.42\n", - " 0.68\n", - " 0.67\n", - " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", - " (0.19, 0.58, 0.08, 0.04)\n", - " 0\n", - " \n", - " \n", - " 66\n", - " 0.56\n", - " 0.54\n", - " 0.85\n", - " 1.00\n", - " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", - " (0.19, 0.58, 0.08, 0.04)\n", - " 0\n", - " \n", - " \n", - " 67\n", - " 0.78\n", - " 0.42\n", - " 0.83\n", - " 0.83\n", - " (0.47, 0.38, 0.59, 0.58)\n", - " (0.69, 0.42, 0.76, 0.83)\n", - " (0.19, 0.58, 0.08, 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0.04)\n", - " 0\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 1\n", + " \n", + " \n", + " 113\n", + " 0.67\n", + " 0.42\n", + " 0.68\n", + " 0.67\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 114\n", + " 0.56\n", + " 0.54\n", + " 0.85\n", + " 1.00\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 115\n", + " 0.78\n", + " 0.42\n", + " 0.83\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 116\n", + " 0.56\n", + " 0.38\n", + " 0.78\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 117\n", + " 0.61\n", + " 0.42\n", + " 0.81\n", + " 0.88\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 118\n", + " 0.92\n", + " 0.42\n", + " 0.95\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 119\n", + " 0.83\n", + " 0.38\n", + " 0.90\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 120\n", + " 0.67\n", + " 0.21\n", + " 0.81\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 121\n", + " 0.81\n", + " 0.67\n", + " 0.86\n", + " 1.00\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 122\n", + " 0.61\n", + " 0.50\n", + " 0.69\n", + " 0.79\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 123\n", + " 0.58\n", + " 0.29\n", + " 0.73\n", + " 0.75\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 124\n", + " 0.69\n", + " 0.42\n", + " 0.76\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 125\n", + " 0.42\n", + " 0.33\n", + " 0.69\n", + " 0.96\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 126\n", + " 0.58\n", + " 0.50\n", + " 0.73\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 127\n", + " 0.61\n", + " 0.42\n", + " 0.76\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 128\n", + " 0.94\n", + " 0.75\n", + " 0.97\n", + " 0.88\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 129\n", + " 0.94\n", + " 0.25\n", + " 1.00\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 130\n", + " 0.72\n", + " 0.50\n", + " 0.80\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 131\n", + " 0.94\n", + " 0.33\n", + " 0.97\n", + " 0.79\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 132\n", + " 0.67\n", + " 0.54\n", + " 0.80\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 133\n", + " 0.81\n", + " 0.50\n", + " 0.85\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 134\n", + " 0.58\n", + " 0.33\n", + " 0.78\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 135\n", + " 0.81\n", + " 0.42\n", + " 0.81\n", + " 0.63\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 136\n", + " 0.86\n", + " 0.33\n", + " 0.86\n", + " 0.75\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 137\n", + " 1.00\n", + " 0.75\n", + " 0.92\n", + " 0.79\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 138\n", + " 0.58\n", + " 0.33\n", + " 0.78\n", + " 0.88\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 139\n", + " 0.94\n", + " 0.42\n", + " 0.86\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 140\n", + " 0.56\n", + " 0.58\n", + " 0.78\n", + " 0.96\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 141\n", + " 0.58\n", + " 0.46\n", + " 0.76\n", + " 0.71\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 142\n", + " 0.72\n", + " 0.46\n", + " 0.75\n", + " 0.83\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 143\n", + " 0.67\n", + " 0.46\n", + " 0.78\n", + " 0.96\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 144\n", + " 0.72\n", + " 0.46\n", + " 0.69\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 145\n", + " 0.69\n", + " 0.50\n", + " 0.83\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 146\n", + " 0.67\n", + " 0.54\n", + " 0.80\n", + " 1.00\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 147\n", + " 0.67\n", + " 0.42\n", + " 0.71\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 148\n", + " 0.61\n", + " 0.42\n", + " 0.71\n", + " 0.79\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", + " \n", + " \n", + " 149\n", + " 0.53\n", + " 0.58\n", + " 0.75\n", + " 0.92\n", + " (0.47, 0.38, 0.59, 0.58)\n", + " (0.19, 0.58, 0.08, 0.04)\n", + " (0.69, 0.42, 0.76, 0.83)\n", + " 2\n", " \n", " \n", "\n", @@ -2280,91 +2280,91 @@ "62 0.42 \n", "63 0.56 \n", "64 0.44 \n", - "65 0.67 \n", - "66 0.56 \n", - "67 0.78 \n", - "68 0.56 \n", - "69 0.61 \n", - "70 0.92 \n", - "71 0.83 \n", - "72 0.67 \n", - "73 0.81 \n", - "74 0.61 \n", - "75 0.58 \n", - "76 0.69 \n", - "77 0.42 \n", - "78 0.58 \n", - "79 0.61 \n", - "80 0.94 \n", - "81 0.94 \n", - "82 0.72 \n", - "83 0.94 \n", - "84 0.67 \n", - "85 0.81 \n", - "86 0.58 \n", - "87 0.81 \n", - "88 0.86 \n", - "89 1.00 \n", - "90 0.58 \n", - "91 0.94 \n", - "92 0.56 \n", - "93 0.58 \n", - "94 0.72 \n", - "95 0.67 \n", - "96 0.72 \n", - "97 0.69 \n", - "98 0.67 \n", - "99 0.67 \n", - "100 0.61 \n", - "101 0.53 \n", + "65 0.22 \n", + "66 0.17 \n", + "67 0.11 \n", + "68 0.08 \n", + "69 0.19 \n", + "70 0.31 \n", + "71 0.08 \n", + "72 0.19 \n", + "73 0.03 \n", + "74 0.17 \n", + "75 0.31 \n", + "76 0.14 \n", + "77 0.14 \n", + "78 0.00 \n", + "79 0.42 \n", + "80 0.39 \n", + "81 0.31 \n", + "82 0.22 \n", + "83 0.39 \n", + "84 0.22 \n", + "85 0.31 \n", + "86 0.22 \n", + "87 0.08 \n", + "88 0.22 \n", + "89 0.14 \n", + "90 0.19 \n", + "91 0.19 \n", + "92 0.25 \n", + "93 0.25 \n", + "94 0.11 \n", + "95 0.14 \n", + "96 0.31 \n", + "97 0.25 \n", + "98 0.33 \n", + "99 0.19 \n", + "100 0.33 \n", + "101 0.03 \n", "102 0.22 \n", - "103 0.17 \n", - "104 0.11 \n", - "105 0.08 \n", + "103 0.19 \n", + "104 0.06 \n", + "105 0.03 \n", "106 0.19 \n", - "107 0.31 \n", - "108 0.08 \n", - "109 0.19 \n", - "110 0.03 \n", - "111 0.17 \n", - "112 0.31 \n", - "113 0.14 \n", - "114 0.14 \n", - "115 0.00 \n", - "116 0.42 \n", - "117 0.39 \n", - "118 0.31 \n", - "119 0.22 \n", - "120 0.39 \n", - "121 0.22 \n", - "122 0.31 \n", - "123 0.22 \n", - "124 0.08 \n", - "125 0.22 \n", - "126 0.14 \n", - "127 0.19 \n", - "128 0.19 \n", - "129 0.25 \n", - "130 0.25 \n", - "131 0.11 \n", - "132 0.14 \n", - "133 0.31 \n", - "134 0.25 \n", - "135 0.33 \n", - "136 0.19 \n", - "137 0.33 \n", - "138 0.03 \n", - "139 0.22 \n", - "140 0.19 \n", - "141 0.06 \n", - "142 0.03 \n", - "143 0.19 \n", - "144 0.22 \n", - "145 0.14 \n", - "146 0.22 \n", - "147 0.08 \n", - "148 0.28 \n", - "149 0.19 \n", + "107 0.22 \n", + "108 0.14 \n", + "109 0.22 \n", + "110 0.08 \n", + "111 0.28 \n", + "112 0.19 \n", + "113 0.67 \n", + "114 0.56 \n", + "115 0.78 \n", + "116 0.56 \n", + "117 0.61 \n", + "118 0.92 \n", + "119 0.83 \n", + "120 0.67 \n", + "121 0.81 \n", + "122 0.61 \n", + "123 0.58 \n", + "124 0.69 \n", + "125 0.42 \n", + "126 0.58 \n", + "127 0.61 \n", + "128 0.94 \n", + "129 0.94 \n", + "130 0.72 \n", + "131 0.94 \n", + "132 0.67 \n", + "133 0.81 \n", + "134 0.58 \n", + "135 0.81 \n", + "136 0.86 \n", + "137 1.00 \n", + "138 0.58 \n", + "139 0.94 \n", + "140 0.56 \n", + "141 0.58 \n", + "142 0.72 \n", + "143 0.67 \n", + "144 0.72 \n", + "145 0.69 \n", + "146 0.67 \n", + "147 0.67 \n", + "148 0.61 \n", + "149 0.53 \n", "\n", " Szerokość kielicha \\\n", "0 0.46 \n", @@ -2432,91 +2432,91 @@ "62 0.29 \n", "63 0.21 \n", "64 0.42 \n", - "65 0.42 \n", - "66 0.54 \n", - "67 0.42 \n", - "68 0.38 \n", - "69 0.42 \n", - "70 0.42 \n", - "71 0.38 \n", - "72 0.21 \n", - "73 0.67 \n", - "74 0.50 \n", - "75 0.29 \n", - "76 0.42 \n", - "77 0.33 \n", - "78 0.50 \n", - "79 0.42 \n", - "80 0.75 \n", - "81 0.25 \n", - "82 0.50 \n", - "83 0.33 \n", - "84 0.54 \n", - "85 0.50 \n", - "86 0.33 \n", - "87 0.42 \n", - "88 0.33 \n", - "89 0.75 \n", - "90 0.33 \n", - "91 0.42 \n", - "92 0.58 \n", - "93 0.46 \n", - "94 0.46 \n", + "65 0.62 \n", + "66 0.42 \n", + "67 0.50 \n", + "68 0.46 \n", + "69 0.67 \n", + "70 0.79 \n", + "71 0.58 \n", + "72 0.58 \n", + "73 0.38 \n", + "74 0.46 \n", + "75 0.71 \n", + "76 0.58 \n", + "77 0.42 \n", + "78 0.42 \n", + "79 0.83 \n", + "80 1.00 \n", + "81 0.79 \n", + "82 0.62 \n", + "83 0.75 \n", + "84 0.75 \n", + "85 0.58 \n", + "86 0.71 \n", + "87 0.67 \n", + "88 0.54 \n", + "89 0.58 \n", + "90 0.42 \n", + "91 0.58 \n", + "92 0.62 \n", + "93 0.58 \n", + "94 0.50 \n", "95 0.46 \n", - "96 0.46 \n", - "97 0.50 \n", - "98 0.54 \n", - "99 0.42 \n", - "100 0.42 \n", - "101 0.58 \n", - "102 0.62 \n", - "103 0.42 \n", - "104 0.50 \n", - "105 0.46 \n", - "106 0.67 \n", - "107 0.79 \n", - "108 0.58 \n", - "109 0.58 \n", - "110 0.38 \n", - "111 0.46 \n", - "112 0.71 \n", - "113 0.58 \n", - "114 0.42 \n", + "96 0.58 \n", + "97 0.87 \n", + "98 0.92 \n", + "99 0.50 \n", + "100 0.62 \n", + "101 0.42 \n", + "102 0.58 \n", + "103 0.62 \n", + "104 0.12 \n", + "105 0.50 \n", + "106 0.62 \n", + "107 0.75 \n", + "108 0.42 \n", + "109 0.75 \n", + "110 0.50 \n", + "111 0.71 \n", + "112 0.54 \n", + "113 0.42 \n", + "114 0.54 \n", "115 0.42 \n", - "116 0.83 \n", - "117 1.00 \n", - "118 0.79 \n", - "119 0.62 \n", - "120 0.75 \n", - "121 0.75 \n", - "122 0.58 \n", - "123 0.71 \n", - "124 0.67 \n", - "125 0.54 \n", - "126 0.58 \n", + "116 0.38 \n", + "117 0.42 \n", + "118 0.42 \n", + "119 0.38 \n", + "120 0.21 \n", + "121 0.67 \n", + "122 0.50 \n", + "123 0.29 \n", + "124 0.42 \n", + "125 0.33 \n", + "126 0.50 \n", "127 0.42 \n", - "128 0.58 \n", - "129 0.62 \n", - "130 0.58 \n", - "131 0.50 \n", - "132 0.46 \n", - "133 0.58 \n", - "134 0.87 \n", - "135 0.92 \n", - "136 0.50 \n", - "137 0.62 \n", - "138 0.42 \n", - "139 0.58 \n", - "140 0.62 \n", - "141 0.12 \n", - "142 0.50 \n", - "143 0.62 \n", - "144 0.75 \n", - "145 0.42 \n", - "146 0.75 \n", - "147 0.50 \n", - "148 0.71 \n", - "149 0.54 \n", + "128 0.75 \n", + "129 0.25 \n", + "130 0.50 \n", + "131 0.33 \n", + "132 0.54 \n", + "133 0.50 \n", + "134 0.33 \n", + "135 0.42 \n", + "136 0.33 \n", + "137 0.75 \n", + "138 0.33 \n", + "139 0.42 \n", + "140 0.58 \n", + "141 0.46 \n", + "142 0.46 \n", + "143 0.46 \n", + "144 0.46 \n", + "145 0.50 \n", + "146 0.54 \n", + "147 0.42 \n", + "148 0.42 \n", + "149 0.58 \n", "\n", " Długość płatka \\\n", "0 0.08 \n", @@ -2584,91 +2584,91 @@ "62 0.69 \n", "63 0.68 \n", "64 0.69 \n", - "65 0.68 \n", - "66 0.85 \n", - "67 0.83 \n", - "68 0.78 \n", - "69 0.81 \n", - "70 0.95 \n", - "71 0.90 \n", - "72 0.81 \n", - "73 0.86 \n", - "74 0.69 \n", - "75 0.73 \n", - "76 0.76 \n", - "77 0.69 \n", - "78 0.73 \n", - "79 0.76 \n", - "80 0.97 \n", - "81 1.00 \n", - "82 0.80 \n", - "83 0.97 \n", - "84 0.80 \n", - "85 0.85 \n", - "86 0.78 \n", - "87 0.81 \n", - "88 0.86 \n", - "89 0.92 \n", - "90 0.78 \n", - "91 0.86 \n", - "92 0.78 \n", - "93 0.76 \n", - "94 0.75 \n", - "95 0.78 \n", - "96 0.69 \n", - "97 0.83 \n", - "98 0.80 \n", - "99 0.71 \n", - "100 0.71 \n", - "101 0.75 \n", - "102 0.07 \n", - "103 0.07 \n", + "65 0.07 \n", + "66 0.07 \n", + "67 0.05 \n", + "68 0.08 \n", + "69 0.07 \n", + "70 0.12 \n", + "71 0.07 \n", + "72 0.08 \n", + "73 0.07 \n", + "74 0.08 \n", + "75 0.08 \n", + "76 0.10 \n", + "77 0.07 \n", + "78 0.02 \n", + "79 0.03 \n", + "80 0.08 \n", + "81 0.05 \n", + "82 0.07 \n", + "83 0.12 \n", + "84 0.08 \n", + "85 0.12 \n", + "86 0.08 \n", + "87 0.00 \n", + "88 0.12 \n", + "89 0.15 \n", + "90 0.10 \n", + "91 0.10 \n", + "92 0.08 \n", + "93 0.07 \n", + "94 0.10 \n", + "95 0.10 \n", + "96 0.08 \n", + "97 0.08 \n", + "98 0.07 \n", + "99 0.03 \n", + "100 0.05 \n", + "101 0.05 \n", + "102 0.08 \n", + "103 0.05 \n", "104 0.05 \n", - "105 0.08 \n", - "106 0.07 \n", - "107 0.12 \n", + "105 0.05 \n", + "106 0.10 \n", + "107 0.15 \n", "108 0.07 \n", - "109 0.08 \n", + "109 0.10 \n", "110 0.07 \n", "111 0.08 \n", - "112 0.08 \n", - "113 0.10 \n", - "114 0.07 \n", - "115 0.02 \n", - "116 0.03 \n", - "117 0.08 \n", - "118 0.05 \n", - "119 0.07 \n", - "120 0.12 \n", - "121 0.08 \n", - "122 0.12 \n", - "123 0.08 \n", - "124 0.00 \n", - "125 0.12 \n", - "126 0.15 \n", - "127 0.10 \n", - "128 0.10 \n", - "129 0.08 \n", - "130 0.07 \n", - "131 0.10 \n", - "132 0.10 \n", - "133 0.08 \n", - "134 0.08 \n", - "135 0.07 \n", - "136 0.03 \n", - "137 0.05 \n", - "138 0.05 \n", - "139 0.08 \n", - "140 0.05 \n", - "141 0.05 \n", - "142 0.05 \n", - "143 0.10 \n", - "144 0.15 \n", - "145 0.07 \n", - "146 0.10 \n", - "147 0.07 \n", - "148 0.08 \n", - "149 0.07 \n", + "112 0.07 \n", + "113 0.68 \n", + "114 0.85 \n", + "115 0.83 \n", + "116 0.78 \n", + "117 0.81 \n", + "118 0.95 \n", + "119 0.90 \n", + "120 0.81 \n", + "121 0.86 \n", + "122 0.69 \n", + "123 0.73 \n", + "124 0.76 \n", + "125 0.69 \n", + "126 0.73 \n", + "127 0.76 \n", + "128 0.97 \n", + "129 1.00 \n", + "130 0.80 \n", + "131 0.97 \n", + "132 0.80 \n", + "133 0.85 \n", + "134 0.78 \n", + "135 0.81 \n", + "136 0.86 \n", + "137 0.92 \n", + "138 0.78 \n", + "139 0.86 \n", + "140 0.78 \n", + "141 0.76 \n", + "142 0.75 \n", + "143 0.78 \n", + "144 0.69 \n", + "145 0.83 \n", + "146 0.80 \n", + "147 0.71 \n", + "148 0.71 \n", + "149 0.75 \n", "\n", " Szerokość płatka \\\n", "0 0.00 \n", @@ -2736,91 +2736,91 @@ "62 0.75 \n", "63 0.75 \n", "64 0.71 \n", - "65 0.67 \n", - "66 1.00 \n", - "67 0.83 \n", - "68 0.71 \n", - "69 0.88 \n", - "70 0.83 \n", - "71 0.71 \n", - "72 0.71 \n", - "73 1.00 \n", - "74 0.79 \n", - "75 0.75 \n", - "76 0.83 \n", - "77 0.96 \n", - "78 0.92 \n", - "79 0.71 \n", - "80 0.88 \n", - "81 0.92 \n", - "82 0.92 \n", - "83 0.79 \n", - "84 0.83 \n", - "85 0.71 \n", - "86 0.83 \n", - "87 0.63 \n", - "88 0.75 \n", - "89 0.79 \n", - "90 0.88 \n", - "91 0.92 \n", - "92 0.96 \n", - "93 0.71 \n", - "94 0.83 \n", - "95 0.96 \n", - "96 0.92 \n", - "97 0.92 \n", - "98 1.00 \n", - "99 0.92 \n", - "100 0.79 \n", - "101 0.92 \n", + "65 0.04 \n", + "66 0.04 \n", + "67 0.04 \n", + "68 0.04 \n", + "69 0.04 \n", + "70 0.12 \n", + "71 0.08 \n", + "72 0.04 \n", + "73 0.04 \n", + "74 0.00 \n", + "75 0.04 \n", + "76 0.04 \n", + "77 0.00 \n", + "78 0.00 \n", + "79 0.04 \n", + "80 0.12 \n", + "81 0.12 \n", + "82 0.08 \n", + "83 0.08 \n", + "84 0.08 \n", + "85 0.04 \n", + "86 0.12 \n", + "87 0.04 \n", + "88 0.17 \n", + "89 0.04 \n", + "90 0.04 \n", + "91 0.12 \n", + "92 0.04 \n", + "93 0.04 \n", + "94 0.04 \n", + "95 0.04 \n", + "96 0.12 \n", + "97 0.00 \n", + "98 0.04 \n", + "99 0.04 \n", + "100 0.04 \n", + "101 0.04 \n", "102 0.04 \n", - "103 0.04 \n", - "104 0.04 \n", + "103 0.08 \n", + "104 0.08 \n", "105 0.04 \n", - "106 0.04 \n", + "106 0.21 \n", "107 0.12 \n", "108 0.08 \n", "109 0.04 \n", "110 0.04 \n", - "111 0.00 \n", + "111 0.04 \n", "112 0.04 \n", - "113 0.04 \n", - "114 0.00 \n", - "115 0.00 \n", - "116 0.04 \n", - "117 0.12 \n", - "118 0.12 \n", - "119 0.08 \n", - "120 0.08 \n", - "121 0.08 \n", - "122 0.04 \n", - "123 0.12 \n", - "124 0.04 \n", - "125 0.17 \n", - "126 0.04 \n", - "127 0.04 \n", - "128 0.12 \n", - "129 0.04 \n", - "130 0.04 \n", - "131 0.04 \n", - "132 0.04 \n", - "133 0.12 \n", - "134 0.00 \n", - "135 0.04 \n", - "136 0.04 \n", - "137 0.04 \n", - "138 0.04 \n", - "139 0.04 \n", - "140 0.08 \n", - "141 0.08 \n", - "142 0.04 \n", - "143 0.21 \n", - "144 0.12 \n", - "145 0.08 \n", - "146 0.04 \n", - "147 0.04 \n", - "148 0.04 \n", - "149 0.04 \n", + "113 0.67 \n", + "114 1.00 \n", + "115 0.83 \n", + "116 0.71 \n", + "117 0.88 \n", + "118 0.83 \n", + "119 0.71 \n", + "120 0.71 \n", + "121 1.00 \n", + "122 0.79 \n", + "123 0.75 \n", + "124 0.83 \n", + "125 0.96 \n", + "126 0.92 \n", + "127 0.71 \n", + "128 0.88 \n", + "129 0.92 \n", + "130 0.92 \n", + "131 0.79 \n", + "132 0.83 \n", + "133 0.71 \n", + "134 0.83 \n", + "135 0.63 \n", + "136 0.75 \n", + "137 0.79 \n", + "138 0.88 \n", + "139 0.92 \n", + "140 0.96 \n", + "141 0.71 \n", + "142 0.83 \n", + "143 0.96 \n", + "144 0.92 \n", + "145 0.92 \n", + "146 1.00 \n", + "147 0.92 \n", + "148 0.79 \n", + "149 0.92 \n", "\n", " Wartość medoidu 0 \\\n", "0 (0.47, 0.38, 0.59, 0.58) \n", @@ -2975,158 +2975,6 @@ "149 (0.47, 0.38, 0.59, 0.58) \n", "\n", " Wartość medoidu 1 \\\n", - "0 (0.69, 0.42, 0.76, 0.83) \n", - "1 (0.69, 0.42, 0.76, 0.83) \n", - "2 (0.69, 0.42, 0.76, 0.83) \n", - "3 (0.69, 0.42, 0.76, 0.83) \n", - "4 (0.69, 0.42, 0.76, 0.83) \n", - "5 (0.69, 0.42, 0.76, 0.83) \n", - "6 (0.69, 0.42, 0.76, 0.83) \n", - "7 (0.69, 0.42, 0.76, 0.83) \n", - "8 (0.69, 0.42, 0.76, 0.83) \n", - "9 (0.69, 0.42, 0.76, 0.83) \n", - "10 (0.69, 0.42, 0.76, 0.83) \n", - "11 (0.69, 0.42, 0.76, 0.83) \n", - "12 (0.69, 0.42, 0.76, 0.83) \n", - "13 (0.69, 0.42, 0.76, 0.83) \n", - "14 (0.69, 0.42, 0.76, 0.83) \n", - "15 (0.69, 0.42, 0.76, 0.83) \n", - "16 (0.69, 0.42, 0.76, 0.83) \n", - "17 (0.69, 0.42, 0.76, 0.83) \n", - "18 (0.69, 0.42, 0.76, 0.83) \n", - "19 (0.69, 0.42, 0.76, 0.83) \n", - "20 (0.69, 0.42, 0.76, 0.83) \n", - "21 (0.69, 0.42, 0.76, 0.83) \n", - "22 (0.69, 0.42, 0.76, 0.83) \n", - "23 (0.69, 0.42, 0.76, 0.83) \n", - "24 (0.69, 0.42, 0.76, 0.83) \n", - "25 (0.69, 0.42, 0.76, 0.83) \n", - "26 (0.69, 0.42, 0.76, 0.83) \n", - "27 (0.69, 0.42, 0.76, 0.83) \n", - "28 (0.69, 0.42, 0.76, 0.83) \n", - "29 (0.69, 0.42, 0.76, 0.83) \n", - "30 (0.69, 0.42, 0.76, 0.83) \n", - "31 (0.69, 0.42, 0.76, 0.83) \n", - "32 (0.69, 0.42, 0.76, 0.83) \n", - "33 (0.69, 0.42, 0.76, 0.83) \n", - "34 (0.69, 0.42, 0.76, 0.83) \n", - "35 (0.69, 0.42, 0.76, 0.83) \n", - "36 (0.69, 0.42, 0.76, 0.83) \n", - "37 (0.69, 0.42, 0.76, 0.83) \n", - "38 (0.69, 0.42, 0.76, 0.83) \n", - "39 (0.69, 0.42, 0.76, 0.83) \n", - "40 (0.69, 0.42, 0.76, 0.83) \n", - "41 (0.69, 0.42, 0.76, 0.83) \n", - "42 (0.69, 0.42, 0.76, 0.83) \n", - "43 (0.69, 0.42, 0.76, 0.83) \n", - "44 (0.69, 0.42, 0.76, 0.83) \n", - "45 (0.69, 0.42, 0.76, 0.83) \n", - "46 (0.69, 0.42, 0.76, 0.83) \n", - "47 (0.69, 0.42, 0.76, 0.83) \n", - "48 (0.69, 0.42, 0.76, 0.83) \n", - "49 (0.69, 0.42, 0.76, 0.83) \n", - "50 (0.69, 0.42, 0.76, 0.83) \n", - "51 (0.69, 0.42, 0.76, 0.83) \n", - "52 (0.69, 0.42, 0.76, 0.83) \n", - "53 (0.69, 0.42, 0.76, 0.83) \n", - "54 (0.69, 0.42, 0.76, 0.83) \n", - "55 (0.69, 0.42, 0.76, 0.83) \n", - "56 (0.69, 0.42, 0.76, 0.83) \n", - "57 (0.69, 0.42, 0.76, 0.83) \n", - "58 (0.69, 0.42, 0.76, 0.83) \n", - "59 (0.69, 0.42, 0.76, 0.83) \n", - "60 (0.69, 0.42, 0.76, 0.83) \n", - "61 (0.69, 0.42, 0.76, 0.83) \n", - "62 (0.69, 0.42, 0.76, 0.83) \n", - "63 (0.69, 0.42, 0.76, 0.83) \n", - "64 (0.69, 0.42, 0.76, 0.83) \n", - "65 (0.69, 0.42, 0.76, 0.83) \n", - "66 (0.69, 0.42, 0.76, 0.83) \n", - "67 (0.69, 0.42, 0.76, 0.83) \n", - "68 (0.69, 0.42, 0.76, 0.83) \n", - "69 (0.69, 0.42, 0.76, 0.83) \n", - "70 (0.69, 0.42, 0.76, 0.83) \n", - "71 (0.69, 0.42, 0.76, 0.83) \n", - "72 (0.69, 0.42, 0.76, 0.83) \n", - "73 (0.69, 0.42, 0.76, 0.83) \n", - "74 (0.69, 0.42, 0.76, 0.83) \n", - "75 (0.69, 0.42, 0.76, 0.83) \n", - "76 (0.69, 0.42, 0.76, 0.83) \n", - "77 (0.69, 0.42, 0.76, 0.83) \n", - "78 (0.69, 0.42, 0.76, 0.83) \n", - "79 (0.69, 0.42, 0.76, 0.83) \n", - "80 (0.69, 0.42, 0.76, 0.83) \n", - "81 (0.69, 0.42, 0.76, 0.83) \n", - "82 (0.69, 0.42, 0.76, 0.83) \n", - "83 (0.69, 0.42, 0.76, 0.83) \n", - "84 (0.69, 0.42, 0.76, 0.83) \n", - "85 (0.69, 0.42, 0.76, 0.83) \n", - "86 (0.69, 0.42, 0.76, 0.83) \n", - "87 (0.69, 0.42, 0.76, 0.83) \n", - "88 (0.69, 0.42, 0.76, 0.83) \n", - "89 (0.69, 0.42, 0.76, 0.83) \n", - "90 (0.69, 0.42, 0.76, 0.83) \n", - "91 (0.69, 0.42, 0.76, 0.83) \n", - "92 (0.69, 0.42, 0.76, 0.83) \n", - "93 (0.69, 0.42, 0.76, 0.83) \n", - "94 (0.69, 0.42, 0.76, 0.83) \n", - "95 (0.69, 0.42, 0.76, 0.83) \n", - "96 (0.69, 0.42, 0.76, 0.83) \n", - "97 (0.69, 0.42, 0.76, 0.83) \n", - "98 (0.69, 0.42, 0.76, 0.83) \n", - "99 (0.69, 0.42, 0.76, 0.83) \n", - "100 (0.69, 0.42, 0.76, 0.83) \n", - "101 (0.69, 0.42, 0.76, 0.83) \n", - "102 (0.69, 0.42, 0.76, 0.83) \n", - "103 (0.69, 0.42, 0.76, 0.83) \n", - "104 (0.69, 0.42, 0.76, 0.83) \n", - "105 (0.69, 0.42, 0.76, 0.83) \n", - "106 (0.69, 0.42, 0.76, 0.83) \n", - "107 (0.69, 0.42, 0.76, 0.83) \n", - "108 (0.69, 0.42, 0.76, 0.83) \n", - "109 (0.69, 0.42, 0.76, 0.83) \n", - "110 (0.69, 0.42, 0.76, 0.83) \n", - "111 (0.69, 0.42, 0.76, 0.83) \n", - "112 (0.69, 0.42, 0.76, 0.83) \n", - "113 (0.69, 0.42, 0.76, 0.83) \n", - "114 (0.69, 0.42, 0.76, 0.83) \n", - "115 (0.69, 0.42, 0.76, 0.83) \n", - "116 (0.69, 0.42, 0.76, 0.83) \n", - "117 (0.69, 0.42, 0.76, 0.83) \n", - "118 (0.69, 0.42, 0.76, 0.83) \n", - "119 (0.69, 0.42, 0.76, 0.83) \n", - "120 (0.69, 0.42, 0.76, 0.83) \n", - "121 (0.69, 0.42, 0.76, 0.83) \n", - "122 (0.69, 0.42, 0.76, 0.83) \n", - "123 (0.69, 0.42, 0.76, 0.83) \n", - "124 (0.69, 0.42, 0.76, 0.83) \n", - "125 (0.69, 0.42, 0.76, 0.83) \n", - "126 (0.69, 0.42, 0.76, 0.83) \n", - "127 (0.69, 0.42, 0.76, 0.83) \n", - "128 (0.69, 0.42, 0.76, 0.83) \n", - "129 (0.69, 0.42, 0.76, 0.83) \n", - "130 (0.69, 0.42, 0.76, 0.83) \n", - "131 (0.69, 0.42, 0.76, 0.83) \n", - "132 (0.69, 0.42, 0.76, 0.83) \n", - "133 (0.69, 0.42, 0.76, 0.83) \n", - "134 (0.69, 0.42, 0.76, 0.83) \n", - "135 (0.69, 0.42, 0.76, 0.83) \n", - "136 (0.69, 0.42, 0.76, 0.83) \n", - "137 (0.69, 0.42, 0.76, 0.83) \n", - "138 (0.69, 0.42, 0.76, 0.83) \n", - "139 (0.69, 0.42, 0.76, 0.83) \n", - "140 (0.69, 0.42, 0.76, 0.83) \n", - "141 (0.69, 0.42, 0.76, 0.83) \n", - "142 (0.69, 0.42, 0.76, 0.83) \n", - "143 (0.69, 0.42, 0.76, 0.83) \n", - "144 (0.69, 0.42, 0.76, 0.83) \n", - "145 (0.69, 0.42, 0.76, 0.83) \n", - "146 (0.69, 0.42, 0.76, 0.83) \n", - "147 (0.69, 0.42, 0.76, 0.83) \n", - "148 (0.69, 0.42, 0.76, 0.83) \n", - "149 (0.69, 0.42, 0.76, 0.83) \n", - "\n", - " Wartość medoidu 2 \\\n", "0 (0.19, 0.58, 0.08, 0.04) \n", "1 (0.19, 0.58, 0.08, 0.04) \n", "2 (0.19, 0.58, 0.08, 0.04) \n", @@ -3278,57 +3126,209 @@ "148 (0.19, 0.58, 0.08, 0.04) \n", "149 (0.19, 0.58, 0.08, 0.04) \n", "\n", + " Wartość medoidu 2 \\\n", + "0 (0.69, 0.42, 0.76, 0.83) \n", + "1 (0.69, 0.42, 0.76, 0.83) \n", + "2 (0.69, 0.42, 0.76, 0.83) \n", + "3 (0.69, 0.42, 0.76, 0.83) \n", + "4 (0.69, 0.42, 0.76, 0.83) \n", + "5 (0.69, 0.42, 0.76, 0.83) \n", + "6 (0.69, 0.42, 0.76, 0.83) \n", + "7 (0.69, 0.42, 0.76, 0.83) \n", + "8 (0.69, 0.42, 0.76, 0.83) \n", + "9 (0.69, 0.42, 0.76, 0.83) \n", + "10 (0.69, 0.42, 0.76, 0.83) \n", + "11 (0.69, 0.42, 0.76, 0.83) \n", + "12 (0.69, 0.42, 0.76, 0.83) \n", + "13 (0.69, 0.42, 0.76, 0.83) \n", + "14 (0.69, 0.42, 0.76, 0.83) \n", + "15 (0.69, 0.42, 0.76, 0.83) \n", + "16 (0.69, 0.42, 0.76, 0.83) \n", + "17 (0.69, 0.42, 0.76, 0.83) \n", + "18 (0.69, 0.42, 0.76, 0.83) \n", + "19 (0.69, 0.42, 0.76, 0.83) \n", + "20 (0.69, 0.42, 0.76, 0.83) \n", + "21 (0.69, 0.42, 0.76, 0.83) \n", + "22 (0.69, 0.42, 0.76, 0.83) \n", + "23 (0.69, 0.42, 0.76, 0.83) \n", + "24 (0.69, 0.42, 0.76, 0.83) \n", + "25 (0.69, 0.42, 0.76, 0.83) \n", + "26 (0.69, 0.42, 0.76, 0.83) \n", + "27 (0.69, 0.42, 0.76, 0.83) \n", + "28 (0.69, 0.42, 0.76, 0.83) \n", + "29 (0.69, 0.42, 0.76, 0.83) \n", + "30 (0.69, 0.42, 0.76, 0.83) \n", + "31 (0.69, 0.42, 0.76, 0.83) \n", + "32 (0.69, 0.42, 0.76, 0.83) \n", + "33 (0.69, 0.42, 0.76, 0.83) \n", + "34 (0.69, 0.42, 0.76, 0.83) \n", + "35 (0.69, 0.42, 0.76, 0.83) \n", + "36 (0.69, 0.42, 0.76, 0.83) \n", + "37 (0.69, 0.42, 0.76, 0.83) \n", + "38 (0.69, 0.42, 0.76, 0.83) \n", + "39 (0.69, 0.42, 0.76, 0.83) \n", + "40 (0.69, 0.42, 0.76, 0.83) \n", + "41 (0.69, 0.42, 0.76, 0.83) \n", + "42 (0.69, 0.42, 0.76, 0.83) \n", + "43 (0.69, 0.42, 0.76, 0.83) \n", + "44 (0.69, 0.42, 0.76, 0.83) \n", + "45 (0.69, 0.42, 0.76, 0.83) \n", + "46 (0.69, 0.42, 0.76, 0.83) \n", + "47 (0.69, 0.42, 0.76, 0.83) \n", + "48 (0.69, 0.42, 0.76, 0.83) \n", + "49 (0.69, 0.42, 0.76, 0.83) \n", + "50 (0.69, 0.42, 0.76, 0.83) \n", + "51 (0.69, 0.42, 0.76, 0.83) \n", + "52 (0.69, 0.42, 0.76, 0.83) \n", + "53 (0.69, 0.42, 0.76, 0.83) \n", + "54 (0.69, 0.42, 0.76, 0.83) \n", + "55 (0.69, 0.42, 0.76, 0.83) \n", + "56 (0.69, 0.42, 0.76, 0.83) \n", + "57 (0.69, 0.42, 0.76, 0.83) \n", + "58 (0.69, 0.42, 0.76, 0.83) \n", + "59 (0.69, 0.42, 0.76, 0.83) \n", + "60 (0.69, 0.42, 0.76, 0.83) \n", + "61 (0.69, 0.42, 0.76, 0.83) \n", + "62 (0.69, 0.42, 0.76, 0.83) \n", + "63 (0.69, 0.42, 0.76, 0.83) \n", + "64 (0.69, 0.42, 0.76, 0.83) \n", + "65 (0.69, 0.42, 0.76, 0.83) \n", + "66 (0.69, 0.42, 0.76, 0.83) \n", + "67 (0.69, 0.42, 0.76, 0.83) \n", + "68 (0.69, 0.42, 0.76, 0.83) \n", + "69 (0.69, 0.42, 0.76, 0.83) \n", + "70 (0.69, 0.42, 0.76, 0.83) \n", + "71 (0.69, 0.42, 0.76, 0.83) \n", + "72 (0.69, 0.42, 0.76, 0.83) \n", + "73 (0.69, 0.42, 0.76, 0.83) \n", + "74 (0.69, 0.42, 0.76, 0.83) \n", + "75 (0.69, 0.42, 0.76, 0.83) \n", + "76 (0.69, 0.42, 0.76, 0.83) \n", + "77 (0.69, 0.42, 0.76, 0.83) \n", + "78 (0.69, 0.42, 0.76, 0.83) \n", + "79 (0.69, 0.42, 0.76, 0.83) \n", + "80 (0.69, 0.42, 0.76, 0.83) \n", + "81 (0.69, 0.42, 0.76, 0.83) \n", + "82 (0.69, 0.42, 0.76, 0.83) \n", + "83 (0.69, 0.42, 0.76, 0.83) \n", + "84 (0.69, 0.42, 0.76, 0.83) \n", + "85 (0.69, 0.42, 0.76, 0.83) \n", + "86 (0.69, 0.42, 0.76, 0.83) \n", + "87 (0.69, 0.42, 0.76, 0.83) \n", + "88 (0.69, 0.42, 0.76, 0.83) \n", + "89 (0.69, 0.42, 0.76, 0.83) \n", + "90 (0.69, 0.42, 0.76, 0.83) \n", + "91 (0.69, 0.42, 0.76, 0.83) \n", + "92 (0.69, 0.42, 0.76, 0.83) \n", + "93 (0.69, 0.42, 0.76, 0.83) \n", + "94 (0.69, 0.42, 0.76, 0.83) \n", + "95 (0.69, 0.42, 0.76, 0.83) \n", + "96 (0.69, 0.42, 0.76, 0.83) \n", + "97 (0.69, 0.42, 0.76, 0.83) \n", + "98 (0.69, 0.42, 0.76, 0.83) \n", + "99 (0.69, 0.42, 0.76, 0.83) \n", + "100 (0.69, 0.42, 0.76, 0.83) \n", + "101 (0.69, 0.42, 0.76, 0.83) \n", + "102 (0.69, 0.42, 0.76, 0.83) \n", + "103 (0.69, 0.42, 0.76, 0.83) \n", + "104 (0.69, 0.42, 0.76, 0.83) \n", + "105 (0.69, 0.42, 0.76, 0.83) \n", + "106 (0.69, 0.42, 0.76, 0.83) \n", + "107 (0.69, 0.42, 0.76, 0.83) \n", + "108 (0.69, 0.42, 0.76, 0.83) \n", + "109 (0.69, 0.42, 0.76, 0.83) \n", + "110 (0.69, 0.42, 0.76, 0.83) \n", + "111 (0.69, 0.42, 0.76, 0.83) \n", + "112 (0.69, 0.42, 0.76, 0.83) \n", + "113 (0.69, 0.42, 0.76, 0.83) \n", + "114 (0.69, 0.42, 0.76, 0.83) \n", + "115 (0.69, 0.42, 0.76, 0.83) \n", + "116 (0.69, 0.42, 0.76, 0.83) \n", + "117 (0.69, 0.42, 0.76, 0.83) \n", + "118 (0.69, 0.42, 0.76, 0.83) \n", + "119 (0.69, 0.42, 0.76, 0.83) \n", + "120 (0.69, 0.42, 0.76, 0.83) \n", + "121 (0.69, 0.42, 0.76, 0.83) \n", + "122 (0.69, 0.42, 0.76, 0.83) \n", + "123 (0.69, 0.42, 0.76, 0.83) \n", + "124 (0.69, 0.42, 0.76, 0.83) \n", + "125 (0.69, 0.42, 0.76, 0.83) \n", + "126 (0.69, 0.42, 0.76, 0.83) \n", + "127 (0.69, 0.42, 0.76, 0.83) \n", + "128 (0.69, 0.42, 0.76, 0.83) \n", + "129 (0.69, 0.42, 0.76, 0.83) \n", + "130 (0.69, 0.42, 0.76, 0.83) \n", + "131 (0.69, 0.42, 0.76, 0.83) \n", + "132 (0.69, 0.42, 0.76, 0.83) \n", + "133 (0.69, 0.42, 0.76, 0.83) \n", + "134 (0.69, 0.42, 0.76, 0.83) \n", + "135 (0.69, 0.42, 0.76, 0.83) \n", + "136 (0.69, 0.42, 0.76, 0.83) \n", + "137 (0.69, 0.42, 0.76, 0.83) \n", + "138 (0.69, 0.42, 0.76, 0.83) \n", + "139 (0.69, 0.42, 0.76, 0.83) \n", + "140 (0.69, 0.42, 0.76, 0.83) \n", + "141 (0.69, 0.42, 0.76, 0.83) \n", + "142 (0.69, 0.42, 0.76, 0.83) \n", + "143 (0.69, 0.42, 0.76, 0.83) \n", + "144 (0.69, 0.42, 0.76, 0.83) \n", + "145 (0.69, 0.42, 0.76, 0.83) \n", + "146 (0.69, 0.42, 0.76, 0.83) \n", + "147 (0.69, 0.42, 0.76, 0.83) \n", + "148 (0.69, 0.42, 0.76, 0.83) \n", + "149 (0.69, 0.42, 0.76, 0.83) \n", + "\n", " Medoid \n", - "0 2 \n", - "1 2 \n", - "2 2 \n", - "3 2 \n", - "4 2 \n", - "5 2 \n", - "6 2 \n", - "7 2 \n", - "8 2 \n", - "9 2 \n", - "10 2 \n", - "11 2 \n", - "12 2 \n", - "13 2 \n", - "14 2 \n", - "15 2 \n", - "16 2 \n", - "17 2 \n", - "18 2 \n", - "19 2 \n", - "20 2 \n", - "21 2 \n", - "22 2 \n", - "23 2 \n", - "24 2 \n", - "25 2 \n", - "26 2 \n", - "27 2 \n", - "28 2 \n", - "29 2 \n", - "30 2 \n", - "31 2 \n", - "32 2 \n", - "33 2 \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "5 0 \n", + "6 0 \n", + "7 0 \n", + "8 0 \n", + "9 0 \n", + "10 0 \n", + "11 0 \n", + "12 0 \n", + "13 0 \n", + "14 0 \n", + "15 0 \n", + "16 0 \n", + "17 0 \n", + "18 0 \n", + "19 0 \n", + "20 0 \n", + "21 0 \n", + "22 0 \n", + "23 0 \n", + "24 0 \n", + "25 0 \n", + "26 0 \n", + "27 0 \n", + "28 0 \n", + "29 0 \n", + "30 0 \n", + "31 0 \n", + "32 0 \n", + "33 0 \n", "34 0 \n", - "35 2 \n", - "36 2 \n", + "35 0 \n", + "36 0 \n", "37 0 \n", - "38 2 \n", - "39 2 \n", - "40 2 \n", - "41 2 \n", - "42 2 \n", - "43 2 \n", - "44 2 \n", - "45 2 \n", - "46 2 \n", - "47 2 \n", - "48 2 \n", - "49 2 \n", + "38 0 \n", + "39 0 \n", + "40 0 \n", + "41 0 \n", + "42 0 \n", + "43 0 \n", + "44 0 \n", + "45 0 \n", + "46 0 \n", + "47 0 \n", + "48 0 \n", + "49 0 \n", "50 0 \n", "51 0 \n", "52 0 \n", @@ -3344,91 +3344,91 @@ "62 0 \n", "63 0 \n", "64 0 \n", - "65 0 \n", - "66 0 \n", - "67 0 \n", - "68 0 \n", - "69 0 \n", - "70 0 \n", - "71 0 \n", - "72 0 \n", - "73 0 \n", - "74 0 \n", - "75 0 \n", - "76 0 \n", + "65 1 \n", + "66 1 \n", + "67 1 \n", + "68 1 \n", + "69 1 \n", + "70 1 \n", + "71 1 \n", + "72 1 \n", + "73 1 \n", + "74 1 \n", + "75 1 \n", + "76 1 \n", "77 1 \n", - "78 0 \n", - "79 0 \n", - "80 0 \n", - "81 0 \n", - "82 0 \n", - "83 0 \n", - "84 0 \n", - "85 0 \n", - "86 0 \n", - "87 0 \n", - "88 0 \n", - "89 0 \n", - "90 0 \n", - "91 0 \n", - "92 0 \n", - "93 0 \n", - "94 0 \n", - "95 0 \n", - "96 0 \n", - "97 0 \n", - "98 0 \n", - "99 0 \n", + "78 1 \n", + "79 1 \n", + "80 1 \n", + "81 1 \n", + "82 1 \n", + "83 1 \n", + "84 1 \n", + "85 1 \n", + "86 1 \n", + "87 1 \n", + "88 1 \n", + "89 1 \n", + "90 1 \n", + "91 1 \n", + "92 1 \n", + "93 1 \n", + "94 1 \n", + "95 1 \n", + "96 1 \n", + "97 1 \n", + "98 1 \n", + "99 1 \n", "100 1 \n", - "101 0 \n", + "101 1 \n", "102 1 \n", "103 1 \n", "104 1 \n", "105 1 \n", - "106 0 \n", + "106 1 \n", "107 1 \n", "108 1 \n", "109 1 \n", "110 1 \n", "111 1 \n", "112 1 \n", - "113 0 \n", - "114 1 \n", - "115 1 \n", - "116 1 \n", - "117 1 \n", - "118 1 \n", - "119 0 \n", - "120 1 \n", - "121 0 \n", - "122 1 \n", - "123 0 \n", - "124 1 \n", - "125 1 \n", - "126 0 \n", - "127 0 \n", - "128 1 \n", - "129 1 \n", - "130 1 \n", - "131 1 \n", - "132 1 \n", - "133 0 \n", - "134 0 \n", - "135 1 \n", - "136 1 \n", - "137 1 \n", - "138 0 \n", - "139 1 \n", - "140 1 \n", - "141 1 \n", - "142 0 \n", - "143 1 \n", - "144 1 \n", - "145 1 \n", - "146 0 \n", - "147 1 \n", - "148 1 \n", - "149 0 " + "113 2 \n", + "114 2 \n", + "115 2 \n", + "116 2 \n", + "117 2 \n", + "118 2 \n", + "119 2 \n", + "120 2 \n", + "121 2 \n", + "122 2 \n", + "123 2 \n", + "124 2 \n", + "125 2 \n", + "126 2 \n", + "127 2 \n", + "128 2 \n", + "129 2 \n", + "130 2 \n", + "131 2 \n", + "132 2 \n", + "133 2 \n", + "134 2 \n", + "135 2 \n", + "136 2 \n", + "137 2 \n", + "138 2 \n", + "139 2 \n", + "140 2 \n", + "141 2 \n", + "142 2 \n", + "143 2 \n", + "144 2 \n", + "145 2 \n", + "146 2 \n", + "147 2 \n", + "148 2 \n", + "149 2 " ] }, "metadata": {}, @@ -3442,6 +3442,17 @@ "\n", "res = res_cluster4[0] + res_cluster4[1] + res_cluster4[2]\n", "\n", + "medoids_values = []\n", + "for i in range(0, len(res_cluster4[0])):\n", + " medoids_values.append(0)\n", + " \n", + "for i in range(0, len(res_cluster4[1])):\n", + " medoids_values.append(1)\n", + " \n", + "for i in range(0, len(res_cluster4[2])):\n", + " medoids_values.append(2)\n", + "\n", + "\n", "data = {'Długość kielicha': [round(res[i][0],2) for i in range(0, len(res))],\n", " 'Szerokość kielicha': [round(res[i][1],2) for i in range(0, len(res))],\n", " 'Długość płatka': [round(res[i][2],2) for i in range(0, len(res))],\n", @@ -3449,7 +3460,7 @@ " 'Wartość medoidu 0': [(round(medoids4[0][0],2),round(medoids4[0][1],2), round(medoids4[0][2],2), round(medoids4[0][3],2)) for i in range(150)],\n", " 'Wartość medoidu 1': [(round(medoids4[1][0],2), round(medoids4[1][1],2), round(medoids4[1][2],2), round(medoids4[1][3],2)) for i in range(150)],\n", " 'Wartość medoidu 2': [(round(medoids4[2][0],2), round(medoids4[2][1],2), round(medoids4[2][2],2), round(medoids4[2][3],2)) for i in range(150)],\n", - " 'Medoid': cluster_labels4}\n", + " 'Medoid': medoids_values}\n", "df = pd.DataFrame(data)\n", "df.to_csv('iris_data.csv')\n", "\n", @@ -3471,7 +3482,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 85, "id": "bb83f704", "metadata": {}, "outputs": [ @@ -3499,7 +3510,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 86, "id": "6ffe3810", "metadata": {}, "outputs": [ @@ -3527,7 +3538,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 87, "id": "662d4cf5", "metadata": {}, "outputs": [], @@ -3545,7 +3556,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 88, "id": "21f2332b", "metadata": {}, "outputs": [], @@ -3556,7 +3567,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 94, "id": "71128af5", "metadata": {}, "outputs": [ @@ -3584,7 +3595,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 95, "id": "5c305f99", "metadata": {}, "outputs": [], @@ -3595,7 +3606,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 96, "id": "e4621daf", "metadata": {}, "outputs": [ @@ -3623,7 +3634,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 98, "id": "b63e355c", "metadata": {}, "outputs": [], @@ -3634,7 +3645,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 101, "id": "bf13c5e4", "metadata": {}, "outputs": [ @@ -3670,7 +3681,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 103, "id": "c5909200", "metadata": {}, "outputs": [], @@ -3684,20 +3695,18 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 104, "id": "a8983527", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -3727,7 +3736,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 105, "id": "74fc7277", "metadata": {}, "outputs": [ @@ -3761,7 +3770,7 @@ " \n", " k-średnich\n", " 0.44\n", - " 0.28\n", + " 0.34\n", " 0.30\n", " \n", " \n", @@ -3787,7 +3796,7 @@ "k-medoid + PCA 0.50 \n", "\n", " Glass \\\n", - "k-średnich 0.28 \n", + "k-średnich 0.34 \n", "k-medoid 0.35 \n", "k-medoid + PCA 0.50 \n", "\n", @@ -3797,7 +3806,7 @@ "k-medoid + PCA 0.45 " ] }, - "execution_count": 127, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } @@ -3816,7 +3825,7 @@ }, { "cell_type": "markdown", - "id": "2c403633", + "id": "05d43597", "metadata": {}, "source": [ "### K-medoids na innych zbiorach danych" @@ -3824,8 +3833,8 @@ }, { "cell_type": "code", - "execution_count": 53, - "id": "6692b36e", + "execution_count": 106, + "id": "ce6fa598", "metadata": {}, "outputs": [], "source": [ @@ -3843,8 +3852,8 @@ }, { "cell_type": "code", - "execution_count": 54, - "id": "3103aca8", + "execution_count": 107, + "id": "9af6e339", "metadata": {}, "outputs": [], "source": [ @@ -3861,8 +3870,8 @@ }, { "cell_type": "code", - "execution_count": 55, - "id": "e0eb2616", + "execution_count": 108, + "id": "c0d9a1c3", "metadata": {}, "outputs": [ { @@ -3877,7 +3886,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3889,7 +3898,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 2 0.33\n" + "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 2 0.3\n" ] } ], @@ -3901,8 +3910,8 @@ }, { "cell_type": "code", - "execution_count": 56, - "id": "208dd1f2", + "execution_count": 109, + "id": "a756e584", "metadata": {}, "outputs": [ { @@ -3917,7 +3926,7 @@ }, { "data": { - "image/png": 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+ "image/png": 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\n", 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" ] @@ -3940,8 +3949,8 @@ }, { "cell_type": "code", - "execution_count": 57, - "id": "ddbf7f30", + "execution_count": 110, + "id": "ca919f2d", "metadata": {}, "outputs": [ { @@ -3956,7 +3965,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3979,7 +3988,7 @@ }, { "cell_type": "markdown", - "id": "a1c83b30", + "id": "e42aee29", "metadata": {}, "source": [ "### Przykłady z syntetycznymi zbiorami danych" @@ -3987,13 +3996,13 @@ }, { "cell_type": "code", - "execution_count": 62, - "id": "0e04d49b", + "execution_count": 111, + "id": "47339051", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -4010,13 +4019,13 @@ }, { "cell_type": "code", - "execution_count": 63, - "id": "8e86192b", + "execution_count": 112, + "id": "437665cb", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -4028,7 +4037,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 2 0.64\n" + "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 2 0.53\n" ] } ], @@ -4038,13 +4047,13 @@ }, { "cell_type": "code", - "execution_count": 64, - "id": "5c4e9183", + "execution_count": 113, + "id": "6d4c1c3e", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -4056,7 +4065,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 3 0.74\n" + "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 3 0.7\n" ] } ], @@ -4066,13 +4075,13 @@ }, { "cell_type": "code", - "execution_count": 65, - "id": "f38c0210", + "execution_count": 114, + "id": "0a90a853", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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AAAsRxgAAACxEGAMAALAQYQwAAMBChDEAAAALEcYAAAAsFGd1AwCET/2mUtWUrJKnrlZxaenKKCxSSl6B1c0CALSBMAbEiPpNpap8YbmMpiZJkqeuVpUvLJckAhkA2BhhzCaoaKCrakpW+YOYj9HUpJqSVfxZAgAbI4zZABUNhIOnrrZD19F5myu26PVda3Wg8aB6JaZqXO4oXZJzkdXNAhClCGM2QEUjvJxaZYxLS281eMWlpVvQmti1uWKLVu5YpWZvsyTpQONBrdyxSpIIZAA6hTBmA1Q0wsfJVcaMwqKA312SXAkJyigssrBVsef1XWv9Qcyn2dus13et7XQYo9IGOBtbW9hAsMoFFY2Oa6vKGOtS8gqUXTzd/+cmLi1d2cXTYz6ERtqBxoMdut4eX6XN9/O+Stvmii2dayCAqENlzAaoaISP06uMKXkFhC+T9UpMbTV49UpM7dTnmVFpAxBdqIzZABWN8KHKCLONyx2leHd8wLV4d7zG5Y7q1OeFu9IGIPpQGbMJKhrhQZURZvNVq8I1xyvclTYA0YcwhpjiC7ROXE2JyLkk56KwDSGOyx0VsDpT6lqlDUD0IYzBVFZsM0GVEdEk3JU2ANGHMAbTOHmbCaAjwllpAxB9mMAP0zh5mwkAAEJFGINpnL7NBAAAoWCYEqbheB5I7C4PAO2hMgbTZBQWyZWQEHCNbSachd3lAaB9hDGYJiWvQMkFl0nuf/0xc7uVXHAZk/cdpK3d5QEAxzFMCdPUbyrV4dL3Ja/3+AWvV4dL31dS3x+aFsis2EoDwbG7PAC0j8oYTBPp1ZS+rTR889R8W2nUbyo15XloX7Bd5NldHgC+QxiDaSK9mpKtNOwn3Oc4AkAsYpgSpon0akq20rAfdpcHgPYRxmCaSB/azVYa9sTu8gDQNoYpYZqUvAJlF0/3h6G4tHRlF083bUI9W2kAAKIRlTGYqjOHdnd2RaTvPaymBABEE8IYbKWrh4t3JvwBAGAlwhg6zYw9vdpaEUnIAgDEIsIYOqWrFaxgWBEJAHAaJvCjU8za0yvYykdWRAIAYhVhDJ1iVgUr2IrIpEGDtPvuu7Tz5un68OZZ7KoPAIgZDFOiU8za06u1FZFJgwbpcOn7/kpcY3VNWIZEAQCwA8IYOsXMDV1PXhG5++67mNQPAIhZhDF0SiT39GJSPwAglhHG0GmR2tOLY44AALGMCfywPY45AgDEMipjsL2Th0QTMzPU69pC5osBAGICYQxR4cQh0czMZFVXH7a4RQAAhAfDlAAAABaiMgYAIdpcsUWv71qrA40H1SsxVeNyR+mSnIusbhaAKEcYg63UbyrVgTf/S+ffU6JPHylUr9HXMzcMEdda6JKklTtWqdnbLEk60HhQK3ccP/6LQAagKwhjsA3f4ePpebuUdNZhJZ/zKTvtI+I2V2xpNXQluOP913yavc16fddawhiALiGMwTa+l3GbfvDnvXLFeSVJP7zzQ/X1bNGBrf8rQ1stbh2c4vVda1sNXSdf8znQeLDdz2R4E0BbmMAP2/hiea4aq5NkeFySJMPjUmNVkr5Ynmtxy+AkoYSrE/VKTG3zvq/S5vtcX6Vtc8WWzjUQQMwhjKHT6jeVavfdd2nnzdO1++67VL+ptEuf52nqoy9Xni9XnKGWY93kijP05X+dL09TnzC1GGhfsHCV1K2H4t3xAdfi3fH++WTBBKu0vb5rbZfaCSB2EMbQKb75Xb5jijx1tap8YXmXAllGYZEyrvhG3sZu+vK/zpe3sZsyrviGnfYRUeNyR7Uaun7W71pN7l/kD2u9ElM1uX9Ru8ONwSptHa3AAYhdzBlDp9SUrJLR1BRwzWhqUk3Jqk5Ptk/JK1DD9l/pH/dtVsPeY6r7xyBlF12qlLwC1W8q9e/A/wU78MNEvnAVbI5XR+d69UpMbTV4tTe8CcA5CGPolNYO7m7rejAnhqy4tHRlFBbprAU3nPKeyheW+8NfY3UNqyxhqktyLgrbBPtxuaMCVmdKoQ1vAnAOhinRKXFp6R263ppQhzrbqsIBdndJzkWdGt4E4BxUxtApGYVFAdUqSXIlJHRofleoQ53hqsIBVglnpQ1A7CGMoVN8YenkIcaODBuGGrJcPXvKOHr0lPd1pAoHAIBdEcbQaSl5BV2asxWXlt5qIDsxZNVvKpXR0HjqD3frZuoqy9bmsjE/DQBgBuaMwTIZhUVyJSQEXDt5qLOmZJXU4jnlZ909epgWjszYtgMAgGAIY7BMSl6Bsoun+ythrp495UpIUMWzy/ybyAYbyvQeOWJau1gwAACIJIYpYSnfUKevGuX9VwjyVaOsmC/GggEAQCQRxmALwapR7oQEKSEh4J47MTEs88WCzQsLZS4bAADhQhiDLbQ1HJlz88yA0HT29J/Ldf6QLj3v5I1kfZU4KTzbdgBm21yxJegpAQCiC2EMpujoakT3aae1Og/Mfdppp6zazMxMVnX14S61r615Yec89n/872E1Jexoc8WWgF39DzQe1Modx+c0EsiA6EMYQ9i1VXUKFmgMw+jQ9a5qb15YV7ftQMdQ5emY13etDTheSZKavc16fddavjcgCpm6mnLNmjW6+uqrNWLECK1YseKU++Xl5SoqKtK4ceM0a9Ys1dfXm9kcREhnViO2Nkm/retdFY7jnBAeviqP7zBtX5Vnc8UWaxtmY60dPN7WdQD2ZlplrLKyUkuWLFFJSYkSEhI0adIkXXrpperbt6//PYsXL9bs2bM1bNgwPfLII3ruuec0Z84cs5qECOnMasRIT5pnXph9RFOVJ9wVvM5+Xq/E1FaDl+/8SwDRxbTKWGlpqfLy8pSamqqkpCSNHDlSa9euDXiP1+vV0X9VPo4dO6bu3bub1RxEUEerTvWbSuVtOnWXfTPD0cl7nMWlpSu7eDpDkxaIlipPuCt4Xfm8cbmjFO+OD7gW747XuNxRnWoLAGuZVhmrqqpSZmam/3VWVpa2bdsW8J577rlHN954ox566CH16NFDL7/8coeekZ5+Wlja2pbMzGTTnxFrjOk/164//FHexu8CljsxUWdP//kp32fVxv+nqj8/H/BeSeqWfJrOmXGTsoYNbfUZ4eiXzGtGKveakV3+HBzX2T7JSEpTzbd1rV6309+/v25a32oF769712vMwGER/bwxmcOUktJD/7VttWq/rVN6UpquH3StruhzySnvtdN3iOPoE3uysl9MC2Ner1cul8v/2jCMgNcNDQ2aP3++li9frkGDBuk///M/NW/ePC1btizkZ9TWHpHXa84Ebyk8q/acyHX+EGVNnXbKakTX+UNO+T73LH/xlCAmSa74xFbfL9EvdtSVPhnzgxEBKwOl41WeMT8YYat+bi0w+q53pp1d/bz+SefpP/LOC7h28s/xd8V+6BN7Mrtf3G5XmwUk08JYTk6OPvzwQ//r6upqZWVl+V/v3LlTiYmJGjRokCTpuuuu05NPPmlWcxBhoa5GZLd7+OZI2X01ZSjztDoyB4x5XwB8TAtjBQUFWrp0qerq6tSjRw+tX79eDz74oP9+nz59VFFRod27d+ucc87R22+/rYEDB5rVHNgUu91DOh7I7Ba+TjYud1SrFTzfPK2O7v3V3ucBcA7Twlh2drbmzJmj4uJiNTc3a+LEiRo0aJBmzJih2bNna+DAgXr44Yd15513yjAMpaen66GHHjKrObApVjUiWrRXwevoqtBoqQgCMJ/LMGtXzQhgzlhs6Ohu/fSL/URTn5i1wext79wd9N4frnqsy5/fGdHUL05Bn9hTzM4ZA0LFbveIFDOPEWIOGIDOMnUHfgCwk7aGEruKvb8AdBaVMQCOYeYGs8wBax9nkAKtI4wBcAyzhxKjYVWoVcwcIgaiHcOUAByDoUTrmDlEDEQ7KmMAHIOhROtEyxmkgBUIYwAchaFEa7DaFAiOYUoAgOkYIgaCozIGADAdQ8RAcIQxhKyjO+UDwIkYIgZaRxhDSOo3lQacIempq1XlC8sliUAGAEAXMGcMIakpWRVwmLckGU1NqilZZVGLAACIDYQxhMRTV9uh6wAAIDSEMYQkLi29Q9cBAEBomDOGkGQUFgXMGZMkV0KCMgqLLGwVYH+cxwigPVTGEJKUvAJlF0/3V8Li0tKVXTydyfuIKpsrtug3HyxUQ0If/eaDhdpcscX0563cscq/2anvPEaznwsgulAZQ8hS8goIXzZHFSY4XzC65IxPdeb3Duic9I+1ckeLJPMOqm7rPEb6BYAPYQyIEb6w4fvH31eFkcwLG9EkM/UXem7CZ4pzHw9gt136jmb920Zt2/+WpA9MeSbnMQIIBcOUQIxoqwoD6c/bBqvm6Glq8R7/n70Wr1vVR5P1538MNu2Zwc5d5DxGACeiMgbECCdWYUIZlv3uPd/TS5/8m+7If0vHmuMU361FL3/yIzV5+pjWvnG5owKqlRLnMQI4FZUxIEY4rQoTyuT4k99TcOYuNXri9d/l/6ZGT7wKztpjajC6JOciTe5f5O+DXompmty/iGFjAAGojAExwmlVmFAmx5/8ntf/OVj/d8vlOtSYpG37f6TxPxxgejDiPEYA7SGMAWFk5WHqJwYQJ6ymDGVY9uT37KrL8v/3eT9abEKrAKDjCGNAmNjhMHUnVWF6Jaa2GshOHJYN5T0AYDXCGNBJJ1fBvE2NQQ9TZ3+28AtlWNZpQ7cAohNhDOiE1qpgwXCYujlCGZYN5T1slAvAaoQxoBNqSladUgULhsPUzRPKsGxb72GjXAB2wNYWQCeEWu3iMHV7Y6NcAHZAGAM6IVi1y9WzJ4epRxEnbpQLwH4YpgQ6IaOwKGDOmHS8CpZ9/RTCVxRhtSUAOyCMxTAr97yKdb7vke83urHaEoAdEMZilB32vIp1KXkFfJdRzmkb5QKwJ8JYjGpttR97XgGnctJGuQDsiQn8MSrYaj/2vAIAwF6ojMWouLT0VoMXe14BrWPzVwBWoTIWozIKi+RKSAi4xp5XQOt8m7/6Vlb6Nn/dXLHF2oYBcATCWIxKyStQdvF09rwCQsDmrwCsxDBlDGO1H5ykK8OMbP4KwEpUxgBEva4OMwbb5JXNXwFEAmEMQNTr6jDjuNxRinfHB1xj81cAkcIwJYCo19VhRjZ/BWAlwhiAqBeOMybZ/BWAVRimBBD1GGYEEM2ojAGIem0NM7KZKwC7I4wBiAmtDTP6Vln6Jvf7Vln63g8AdkAYAxCz2lplaXUYo2IHwIcwBiBm2XUzVyp2AE7EBH4AMcuum7ly/BKAExHGAMQsu66ytGvFDoA1GKYEELPsuplrOPZFAxA7CGMAYpodN3MdlzsqYM6YZI+KHQBrEMYAIMLsWrEDYA3CGABYwI4VOwDWYAI/AACAhQhjAAAAFiKMAQAAWIgwBgAAYCHCGAAAgIVYTQnAETiYG4BdEcYAxDwO5gZgZwxTAoh5HMwNwM4IYwBiHgdzA7AzhikBxLxIHMzNnDQAnUVlDEDMG5c7SvHu+IBr4TyY2zcnzRf4fHPSNldsCcvnA4hthDEAMe+SnIs0uX+RvxLWKzFVk/sXha1yxZw0AF3BMCUARzDzYG7mpAHoCipjANBFweaehXNOGoDYRRgDgC4ye04agNjGMCUAdJFv+JPVlAA6gzAGAGFg5pw0ALHN1GHKNWvW6Oqrr9aIESO0YsWKU+7v3r1bU6dO1bhx43TTTTfp0KFDZjYHAADAdkwLY5WVlVqyZIlWrlyp1157TS+99JI+//xz/33DMPSLX/xCM2bM0Ouvv67zzjtPy5YtM6s5AAAAtmRaGCstLVVeXp5SU1OVlJSkkSNHau3a7/bcKS8vV1JSkoYOHSpJuuWWWzRlyhSzmgMAAGBLps0Zq6qqUmZmpv91VlaWtm3b5n/95ZdfKiMjQ/fdd5+2b9+uc845R/fff3+HnpGeflrY2htMZmay6c9Ax9Ev9kOf2BP9Yj/0iT1Z2S+mhTGv1yuXy+V/bRhGwGuPx6PNmzfrxRdf1MCBA/XEE0/okUce0SOPPBLyM2prj8jrNcLa7hNlZiaruvqwaZ+PzqFf7Ic+sSf6xX7oE3syu1/cblebBSTThilzcnJUXV3tf11dXa2srCz/68zMTPXp00cDBw6UJI0dOzagcgYAAOAEpoWxgoIClZWVqa6uTseOHdP69ev988MkaciQIaqrq9OOHTskSe+8844GDBhgVnMAAABsybRhyuzsbM2ZM0fFxcVqbm7WxIkTNWjQIM2YMUOzZ8/WwIED9Yc//EELFizQsWPHlJOTo8cee8ys5gAAANiSyzAM8yZdmYw5Y85Ev9gPfWJP9Iv90Cf2FLNzxgAAANA+whgAAICFCGMAAAAWIowBAABYiDAGAABgIcIYAACAhQhjAAAAFiKMAQAAWIgwBgAAYCHCGAAAgIUIYwAAABYijAEAAFiIMAYAAGAhwhgAAICFCGMAAAAWIowBAABYiDAGAABgIcIYAACAhQhjAAAAFiKMAQAAWIgwBgAAYKE4qxsAAADsY2tNvTZ8XauDTR6lJsRpeO90DclIsbpZMY0wBgAAJB0PYq99UaVmryFJOtjk0WtfVEkSgcxEhDEAAByivarXhq9r/UHMp9lraMPXtYQxExHGAABwgFCqXgebPK3+bLDrCA8m8AMA4ABtVb18UhNar9EEu47wIIwBAOAAoVS9hvdOV7zbFXA/3u3S8N7pprbN6Yi6AAA4QGpCXKuB7MSql2+4ktWUkUUYAwDAAYb3Tg+YMya1XvUakpFC+IowwhgAAA5A1cu+CGMAADgEVS97YgI/AACAhYKGsSeffFKGYQS7DQAAgDAIGsY2bdqk4uJiVVdXR7I9AAAAjhI0jK1YsUL5+fkqKirSe++9F8k2AQAAOEbQCfxut1u33nqrfvzjH2vBggV6++23ddZZZ/nv33DDDRFpIAAAQCxrdzWl2+2Wy+XS559/roaGhki0CQAAwDGChjHDMPTHP/5Rzz33nObMmaMpU6ZEsl0AAACOEDSMTZo0SceOHdPKlSt17rnnRrJNAAAAjhF0Av+AAQP0yiuvEMQAAABMFLQytnDhwki2AwAAwJHYgR8AAMBChDEAAAALEcYAAAAsRBgDAACwULubvgIAAHTF1pp6bfi6VgebPEpNiNPw3ukakpFidbNsgzAGAABMs7WmXq99UaVmryFJOtjk0WtfVEkSgexfGKYEAACm2fB1rT+I+TR7Db2yp1Jba+otapW9EMYAAIBpDjZ5Wr1uSHrtiyoCmQhjAADARKkJwWdENXsNbfi6NoKtsSfCGAAAMM3w3umKd7uC3g9WOXMSwhgAADDNkIwUje+TpeBxTHrsH3scPVzJakoAAGAq36rJE1dVnsjpKyypjAEAANP5KmTB5pA5ef4YYQwAAETEkIwU3X3h2UHvO3X+GGEMAABEVLDqWFsrL2MZYQwAAERUayss490uDe+dblGLrOXMCAoAACzjm6TPeZXHEcYAAEDEDclI6XL4ipUDyAljAAAg6sTSAeTMGQMAAFEn2AHk0bg9BmEMAABEnWDbYETj9hgMUwIA4GDROu8qNSGu1eAVjdtjRF+LEbXKyitUsnGXausblZ6SqMJhucofkGN1swDAsaJ53tXw3umnHK8UrdtjMEyJiCgrr9Dzb+5QbX2jJKm2vlHPv7lDZeUVFrcMAJwrmuddnXy8UmpCnMb3ybJ9iGwNlTFERMnGXWryeAOuNXm8Ktm4i+oYAFgk2uddhWN7DDugMoaI8FXEQr0OADAfxxLZA982IiI9JbHV4JWekmhBawAg9oUyMT+W5l1FMypjiIjCYblKiAv845YQ51bhsFyLWgQAscs3Md833OibmL+1pj7gfbE07yqaURlDRPjmhbGaEgDM19bE/JODVqzMu4pmpoaxNWvW6JlnnpHH49G0adM0ZcqUVt/37rvv6oEHHtA777xjZnNgsfwBOYQvAIiAaJ+Y7zSmhbHKykotWbJEJSUlSkhI0KRJk3TppZeqb9++Ae+rqanRo48+alYzAABwnFjaENUJTJszVlpaqry8PKWmpiopKUkjR47U2rVrT3nfggULdPvtt5vVDAAAHGd473TFu10B15iYb1+mReSqqiplZmb6X2dlZWnbtm0B73nhhRd0/vnn68ILL+zUM9LTT+tSG0ORmZls+jPQcfSL/dAn9kS/2E8k+mREZrJSUrrr1X9+o7qGZqV1j9eEft9XHmEsKCv/rpgWxrxer1yu71K5YRgBr3fu3Kn169dr+fLlqqjo3C7stbVH5D1pgmI4ZWYmq7r6sGmfj86hX+yHPrEn+sV+ItknuQkJ+tXAHwRc489D68zuF7fb1WYBybRhypycHFVXV/tfV1dXKysry/967dq1qq6uVlFRkWbOnKmqqipNnjzZrOYAAADYkmlhrKCgQGVlZaqrq9OxY8e0fv16DR061H9/9uzZWrdunVavXq1ly5YpKytLK1euNKs5AAAAtmRaGMvOztacOXNUXFys8ePHa+zYsRo0aJBmzJihjz/+2KzHAgAARBWXYRjmTboyGXPGnIl+sR/6xJ7oF/uhT+zJ6jljbDgCAABsJ5SzNWMFYQwAANiK72xN35FOvrM1JcVkIOOgcAAAYCttna0ZiwhjAADAVpx2tibDlAAAwBSdnffltLM1qYwBAICw88378oUq37yvrTX17f6s087WjM2ICQAALNXWvC9fdSxY5cx3n9WUAAAAndTevK/2VkyeGMpiHcOUAAAg7ILN7/Jdd9qKybYQxgAAQNi1N+/LaSsm28IwJQAADhOJ3e3bm/fltBWTbaEyBgCAg3RllWNHnvHUJ9t0wRlXqHu3w/rZ2dm6+8KzAwKf01ZMtoUwBgCAg5g9V8sX9s7q9a6+n7xHZ6VubDXsDclI0fg+Wf5KWGpCnMb3yXLMpP0TOa8WCACAg5k9Vysj9WYt+eFGxbmbJEk3XrhQHu9vVF49TNLLAe910orJthDGolhZeYVKNu5SbX2j0lMSVTgsV/kDcqxuFgDAxsyeq/XKP29Rzmn/VHrSN+qmFnmMONUey9Er/7xFcwaE5RExh2HKKFVWXqHn39yh2vpGSVJtfaOef3OHysorLG4ZAMDOzJ6r1ew5W6s/u0VxLo8aPD0U5/Jo9We3qNlzdlg+PxZRGYtSJRt3qcnjDbjW5PGqZOMu21bHwlXJe/ejfVr+RjkVQQDoBLN3tx/eO13pqRvU2NJDb3x+s8b2fVaXnP6WcntMCcvnxyLCWJTyVcRCvd6aSA5z+ip5vgDpq+RJ6tAzy8or9MLaf6qxuaVLnwMATmbmXK0hGSnadeRO/bYsSV8d+Z62V4/TyDOPMTesDYSxKJWekthq8EpPSQzp58MVjkIVrkpeycZd/iDWlc8BAJgn97ShuvU8q1sRPZgzFqUKh+UqIS6w+xLi3CoclhvSz7cVjswQjkpeOD8HAAC7IIxFqfwBOZo2ur+/Epaekqhpo/uHXB2KdKgJVrELtZIX7s8BAMAuGKaMYvkDcjo9NNfVYc6OKhyWGzAsKnWsknfi55w4Z6yznwMAgF1QGXOorg5zdlRXK3knfs7tP7uwy58DAIBdUBlzKF94ieSmsV2p5J3oxxefqQFnpXa9QQAA2ABhzMHCFY4AAEDnMUwJAABgIcIYAACAhQhjAAAAFmLOGAAADrW1pr5TZ1R29ufQOsIYAAAOtLWmXq99UaVmryFJOtjk0WtfVElSm8Gqsz+H4BimBADAgTZ8XesPVD7NXkMbvq415ecQHGEMAAAHOtjk6dD1rv4cgiOMAQDgQKkJrc9UCna9qz+H4PjmolxZeUVEd9EHAMSG4b3TA+Z+SVK826XhvdNN+TkERxiLYmXlFQGHb9fWN+r5N3dIEoEMANAm32T7jq6K7OzPITjCWBQr2bjLH8R8mjxelWzcRRgDALRrSEZKp0JUZ38OrWPOWBSrrW/s0HUAAGA/hLEolp6S2KHrAADAfghjUaxwWK4S4gK7MCHOrcJhuRa1CAAAdBRzxqKYb14YqykBAIhehLEolz8gh/AFAEAUY5gSAADAQoQxAAAACxHGAAAALMScsShmxlFIHK8EAEBkEcailBlHIXG8EgAAkccwZZQKdhTSc298qrLyirB+ZsnGXZ1uJwAAaBuVsSgV7Mgjr6FWq1mhDD9yvBIAwEm21tTb4sBzwliUSk9JDBqSTj4sPNThx2CfyfFKAOA8dgkqZtlaU6/XvqhSs9eQJB1s8ui1L6okKeK/J8OUUaq1o5BOdGKoCnX4keOVAADSd0HlYJNH0ndBZWtNvcUtC58NX9f6g5hPs9fQhq9rI94WKmNRylfReu6NT3XSnyVJgdWsUIcfOV4JACAFDyqv7KmUZH7lKBJVOV/QDPW6mQhjUcwXkk4cgpROrWZ1ZPiR45UAAMECiSGZPpQXqeHD1IS4Vn/P1ITIRyOGKaNc/oAcTRvd3x+s0lMSNW10/4BAxfAjAKAj2gokZg/lRWr4cHjvdMW7XQHX4t0uDe+dHtbnhILKWAxor5oVjcOPbD4LANYZ3js9oDp1sq4O5bU1DBmp4UPf8+ywSIEw5hDRNPzI5rMAYC1fIHllT6Vai2MnV846MservWHISA4fDslI0ZCMFGVmJqu6+nDYPz9UDFPCdth8FgCsNyQjRRPPzm53KK+jKy/bG4a00/BhpBDGYDtsPgsA9jAkI0Xj+2T5q1KpCXEa3ycroOrV0Tle7Q1DhvLMWMMwJWyHzWcBwD58Q3nBdHSOVyjDkO09M9ZQGQuzsvIKzX36fd34yDua+/T7nT4nsqttWPjceh1rGaCFz623pA1dwepPAIgeweZyBbvuxGHI9hDGwsg38dxX1fFNPI9kGPK1IfeM93VWzj6dc0ZpxNvQVaFs1wEAsIeOhisnDkO2x2UYRuvrVqNAbe0ReYMsuw2Hjq6umPv0+0GH135762XhbFpQn1eM05BzyxQX51FctxZ5WrrJ44nT1p356pvzekTaYDarV73gVPSJPdEv9hOrfRLt51ia3S9ut0vp6acFvc+csTCyw8Tz/1xznXrf+Lmy0qr8YazqQJb+75rr9NCMiDUDAOAgTpvjFW4MU4ZRsAnmkZx43tT8A61YN1lx3Vp0rLG74rq1aMW669Xc/IOItQEAAISOMBZGdph4XjgsV8MGv6/GpkStXDdJjU2JGjq4lMnvAADYFMOUYWSHY4fyB+Ro+5dzdO8fmrRnf5L+sXOEiq5MZPI7ACCson2emJ0QxsLMDscOnXfWCN0/zdImAABiWHtHGqFjGKYEAAAd0tFd99E2whgAAOiQju66j7YRxgAAQId0dNd9tI1vDQAABGhvcv7w3ukBc8YkjjTqClPD2Jo1a/TMM8/I4/Fo2rRpmjJlSsD9t956S0uXLpVhGDrjjDP08MMP63vf+56ZTQIAAG0IZXK+7z87s5qSVZinMi2MVVZWasmSJSopKVFCQoImTZqkSy+9VH379pUkHTlyRL/+9a+1atUqZWdn68knn9TSpUu1YMECs5pkC2XlFZZufQEAQFvampx/YmjqzK77rMJsnWlzxkpLS5WXl6fU1FQlJSVp5MiRWrt2rf9+c3OzFi1apOzsbElSv379tH//frOaYwt2OEgcAIC2mDk5n1WYrTOtMlZVVaXMzEz/66ysLG3bts3/ulevXho+fLgkqaGhQcuWLdPUqVM79Iy2Dt0Ml8zM5LB91mvvlanJ4w241uTx6rX39mjcj38Ytuc4QTj7BeFBn9gT/WI/du+TtO7xqmtobvV6V9veVtCz+nux8vmmhTGv1yuXy+V/bRhGwGufw4cP67bbblP//v01YcKEDj2jtvaIvCcl7HAK9ynu1QeOBb1u5mnxZrFqyDXc/YKuo0/siX6xn2jok5+cntbq5PyfnJ7W5banJsS1GshSE+Is/V7M7he329VmAcm0YcqcnBxVV1f7X1dXVysrKyvgPVVVVZo8ebL69eunxYsXm9UU27DDQeLhwpArAMSmIRkpGt8ny79NRWpCnMb3yQrLnK7hvdMV7w4szLAK08TKWEFBgZYuXaq6ujr16NFD69ev14MPPui/39LSoltuuUWjR4/WrbfealYzbKVwWK6ef3NHwFBlpA8SD5eSjbtaHXIt2biLBQkAEOU6Mzk/1M+VOrcKM5aZFsays7M1Z84cFRcXq7m5WRMnTtSgQYM0Y8YMzZ49WxUVFfr000/V0tKidevWSZIuuOCCmK6Q2eEg8XDxVcRCvQ4AgGRe0Itmpu4zds011+iaa64JuPanP/1JkjRw4EDt2LHDzMfbkh0OEg+H9JTEVoNXNA65AgBgJY5DQqcUDstVQlzgH59oHXIFAMBKHIeETomlIVcAgHXYkZ8whi6IlSFXAIA12JH/OIYpAQCAJdiR/zgqYw7D2ZgAALsw8+ilaEIYcxDfRq2+/cF8G7VKIpABACKurR35nYRhSgdpa6NWAAAijR35j3NW9HS4SGzUyjAoACBU7Mh/HGHMQczeqJVhUABAR7EjP8OUjmL2Rq0MgwIA0HFUxhzE7I1aOa8SAICOI4w5jJkbtXJeJQAAHccwJcKG8yoBAOg4KmM2F02rEzmvEgCAjiOM2Vg0rk7kvEoAADqGYUobY3UiAACxjzBmY6xOBAAg9hHGbCzYKkRWJwIAEDuYMxYmZky0LxyWGzBnTGJ1IgAAsYYwFgZmTbRndSIAALGPMBYGbU2072pwssPqxGjaXgMAgGhDGAuDWJ5oH43bawAAEE2YwB8GsTzRnu01AAAwF2EsDGL5GKBYrvoBAGAHDFOGQSxPtOfwbwAAzEUYCxM7TLQ3A9trAABgLsIY2hTLVT8AAOyAMIZ2xWrVDwAAO2ACPwAAgIWojDkIm7cCAGA/hDGHYPNWAADsiWFKh2DzVgAA7Ikw5hBs3goAgD0Rxhwilo9sAgAgmhHGHCKWj2wCACCaMYHfIdi8FQAAeyKMOQibtwIAYD8MUwIAAFiIMAYAAGAhwhgAAICFCGMAAAAWIowBAABYiDAGAABgIcIYAACAhQhjAAAAFiKMAQAAWIgd+G2krLyC44oAAHAYwphNlJVX6Pk3d6jJ45Uk1dY36vk3d0gSgQwAgBjGMKVNlGzc5Q9iPk0er0o27rKoRQAAIBIIYzZRW9/YoesAACA2EMZsIj0lsUPXAQBAbCCM2UThsFwlxAV2R0KcW4XDci1qEQAAiAQm8NuEb5I+qykBAHAWwpiN5A/IIXwBAOAwhDFYhn3VAAAgjMEi7KsGAMBxTOCHJdhXDQCA4whjsAT7qgEAcBxhDJZgXzUAAI4jjMES7KsGAMBxTOCHJdhXDQCA4whjsAz7qgEAQBhrlW//q7r6RqVRsQEAACYijJ2E/a8AAEAkMYH/JOx/BQAAIokwdhL2vwIAAJFEGDsJ+18BAIBIIoydhP2vAABAJDGB/yQn7n/FakoAAGA2wlgrfPtfZWYmq7r6sNXNAQAAMczUYco1a9bo6quv1ogRI7RixYpT7m/fvl2FhYUaOXKk5s+fL4/HY2ZzAAAAbMe0MFZZWaklS5Zo5cqVeu211/TSSy/p888/D3jP3LlztXDhQq1bt06GYejll182qzmOUFZeoblPv68bH3lHc59+X2XlFVY3CQAAtMO0MFZaWqq8vDylpqYqKSlJI0eO1Nq1a/33v/76azU0NGjw4MGSpMLCwoD76BjfZrW+LTh8m9USyAAAsDfTwlhVVZUyMzP9r7OyslRZWRn0fmZmZsB9dAyb1QIAEJ1Mm8Dv9Xrlcrn8rw3DCHjd3v1QpKef1vWGtiMzM9n0Z4RDXZBNaevqG6Pmd+iIWPydoh19Yk/0i/3QJ/ZkZb+YFsZycnL04Ycf+l9XV1crKysr4H51dbX/dU1NTcD9UNTWHpHXa3S9sUFE02rKtJTEVk8JSEtJjJrfIVTR1C9OQZ/YE/1iP/SJPZndL263q80CkmnDlAUFBSorK1NdXZ2OHTum9evXa+jQof77vXv3VmJioj766CNJ0urVqwPuo2PYrBYAgOhkWhjLzs7WnDlzVFxcrPHjx2vs2LEaNGiQZsyYoY8//liS9Pjjj+vhhx/WqFGj9O2336q4uNis5sS8/AE5mja6v//YpvSURE0b3Z/NagEAsDmXYRjmjfOZjGFKZ6Jf7Ic+sSf6xX7oE3uK2WFKAAAAtI8wBgAAYCHCGAAAgIUIYwAAABYijAEAAFiIMAYAAGAhwhgAAICFCGMAAAAWIowBAABYiDAGAABgIcIYAACAhQhjAAAAFiKMAQAAWCjO6gZ0hdvtiolnoOPoF/uhT+yJfrEf+sSezOyX9j7bZRiGYdrTAQAA0CaGKQEAACxEGAMAALAQYQwAAMBChDEAAAALEcYAAAAsRBgDAACwEGEMAADAQoQxAAAACxHGAAAALEQYAwAAsBBhTNKaNWt09dVXa8SIEVqxYsUp97dv367CwkKNHDlS8+fPl8fjsaCVztNev7z11lu69tprNW7cON166606dOiQBa10lvb6xOfdd9/VVVddFcGWOVt7/bJ7925NnTpV48aN00033cTflQhor0/Ky8tVVFSkcePGadasWaqvr7eglc5z5MgRjR07Vl999dUp9yz9t95wuIqKCuPKK680Dhw4YBw9etS45pprjM8++yzgPWPGjDG2bt1qGIZh3HvvvcaKFSssaKmztNcvhw8fNi677DKjoqLCMAzDeOKJJ4wHH3zQquY6Qih/VwzDMKqrq41Ro0YZV155pQWtdJ72+sXr9RojRowwNm7caBiGYfz2t781HnvsMaua6wih/F25/vrrjXfffdcwDMN4+OGHjd/97ndWNNVR/v73vxtjx441BgwYYOzbt++U+1b+W+/4ylhpaany8vKUmpqqpKQkjRw5UmvXrvXf//rrr9XQ0KDBgwdLkgoLCwPuwxzt9Utzc7MWLVqk7OxsSVK/fv20f/9+q5rrCO31ic+CBQt0++23W9BCZ2qvX8rLy5WUlKShQ4dKkm655RZNmTLFquY6Qih/V7xer44ePSpJOnbsmLp3725FUx3l5Zdf1qJFi5SVlXXKPav/rXd8GKuqqlJmZqb/dVZWliorK4Pez8zMDLgPc7TXL7169dLw4cMlSQ0NDVq2bJl++tOfRrydTtJen0jSCy+8oPPPP18XXnhhpJvnWO31y5dffqmMjAzdd999mjBhghYtWqSkpCQrmuoYofxdueeee7RgwQJdfvnlKi0t1aRJkyLdTMdZvHixfvSjH7V6z+p/6x0fxrxer1wul/+1YRgBr9u7D3OE+r0fPnxYM2fOVP/+/TVhwoRINtFx2uuTnTt3av369br11lutaJ5jtdcvHo9Hmzdv1vXXX69XX31VZ555ph555BErmuoY7fVJQ0OD5s+fr+XLl+u9997T5MmTNW/ePCuain+x+t96x4exnJwcVVdX+19XV1cHlDBPvl9TU9NqiRPh1V6/SMf/n8zkyZPVr18/LV68ONJNdJz2+mTt2rWqrq5WUVGRZs6c6e8fmKu9fsnMzFSfPn00cOBASdLYsWO1bdu2iLfTSdrrk507dyoxMVGDBg2SJF133XXavHlzxNuJ71j9b73jw1hBQYHKyspUV1enY8eOaf369f65FZLUu3dvJSYm6qOPPpIkrV69OuA+zNFev7S0tOiWW27R6NGjNX/+fKqVEdBen8yePVvr1q3T6tWrtWzZMmVlZWnlypUWttgZ2uuXIUOGqK6uTjt27JAkvfPOOxowYIBVzXWE9vqkT58+qqio0O7duyVJb7/9tj8swxpW/1sfF7En2VR2drbmzJmj4uJiNTc3a+LEiRo0aJBmzJih2bNna+DAgXr88ce1YMECHTlyRAMGDFBxcbHVzY557fVLRUWFPv30U7W0tGjdunWSpAsuuIAKmYlC+buCyAulX/7whz9owYIFOnbsmHJycvTYY49Z3eyYFkqfPPzww7rzzjtlGIbS09P10EMPWd1sR7LLv/UuwzCMiD0NAAAAARw/TAkAAGAlwhgAAICFCGMAAAAWIowBAABYiDAGAABgIcIYAEcrLy/XxRdfrI8//th/ra6uTj/96U/17rvvWtcwAI7B1hYAHO8vf/mLli1bpldffVU9e/bUjTfeqPz8fP3iF7+wumkAHIAwBgCS5s6dq2+//VZnnXWW9u3bp6VLl3KyA4CIIIwBgKRvv/1W48ePl8fj0Zo1a9SzZ0+rmwTAIZgzBgCS9uzZo6NHj6q+vl7l5eVWNweAg1AZA+B4dXV1mjhxon75y1+qsbFRS5Ys0auvvqrMzEyrmwbAAQhjABytpaVFN954o/r27av7779fknTvvfdq3759ev7559WtWzeLWwgg1jFMCcDRHnvsMR07dkzz5s3zX1u4cKEOHTqk3/3udxa2DIBTUBkDAACwEJUxAAAACxHGAAAALEQYAwAAsBBhDAAAwEKEMQAAAAsRxgAAACxEGAMAALDQ/wdgdwLtAebSMQAAAABJRU5ErkJggg==\n", 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" ] @@ -4084,7 +4093,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 4 0.74\n" + "Sylwetka (ang.silhouette) dla metody k-medoid i dla k = 4 0.69\n" ] } ], @@ -4094,8 +4103,8 @@ }, { "cell_type": "code", - "execution_count": 66, - "id": "ff1666c4", + "execution_count": 115, + "id": "85bc48d6", "metadata": {}, "outputs": [ { @@ -4133,8 +4142,8 @@ }, { "cell_type": "code", - "execution_count": 67, - "id": "9f18cbdb", + "execution_count": 116, + "id": "7fb14dda", "metadata": {}, "outputs": [ { @@ -4161,13 +4170,13 @@ }, { "cell_type": "code", - "execution_count": 68, - "id": "75e364f5", + "execution_count": 117, + "id": "11960f33", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -4186,14 +4195,6 @@ "source": [ "model16 = TrainModel_medoids(X3, 4)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7db02032", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": {