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StandardScaler

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jakubknczny 2021-06-25 20:28:33 +02:00
parent de7b569a89
commit 0a1dd766b6
1 changed files with 2 additions and 2 deletions
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kMedoids.py
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@ -5,7 +5,7 @@ import seaborn as sns
from numpy.random import choice, seed from numpy.random import choice, seed
from sklearn.decomposition import PCA from sklearn.decomposition import PCA
from sklearn.preprocessing import Normalizer from sklearn.preprocessing import StandardScaler
seed(42) seed(42)
@ -44,7 +44,7 @@ def is_finished(old_medoids, new_medoids):
def kmedoids(num_samples, num_clusters): def kmedoids(num_samples, num_clusters):
df = pd.read_csv('CC GENERAL.csv', index_col='CUST_ID') df = pd.read_csv('CC GENERAL.csv', index_col='CUST_ID')
df = df[:num_samples].fillna(0) df = df[:num_samples].fillna(0)
df_scaled = pd.DataFrame(Normalizer().fit_transform(df)) df_scaled = pd.DataFrame(StandardScaler().fit_transform(df))
# initialize medoids (at random) # initialize medoids (at random)
medoids = initialize_medoids(num_medoids=num_clusters, data=df_scaled) medoids = initialize_medoids(num_medoids=num_clusters, data=df_scaled)