k-medoids/readme.md

# K-medoids (Partitioning Around Medoids)

PAM k-medoids implementation for classes of Mathematical Foundations of Artificial Intelligence
and Cyber-Security at AMU Poznań.

dataset:
https://www.kaggle.com/arjunbhasin2013/ccdata

![](27.gif)

It may seem that the quality is not satisfactory for bigger numbers of cluster. That is due to the fact that the data has 17 dimensions and for the purpouse of plotting it is [PCA](https://en.wikipedia.org/wiki/Principal_component_analysis)'ed into just 2 dimensions.
init 2021-06-18 20:05:07 +02:00			`# K-medoids (Partitioning Around Medoids)`

			`PAM k-medoids implementation for classes of Mathematical Foundations of Artificial Intelligence`
add gif 2021-06-18 20:32:35 +02:00			`and Cyber-Security at AMU Poznań.`

			`dataset:`
add gif to readme? 2021-06-18 20:38:16 +02:00			`https://www.kaggle.com/arjunbhasin2013/ccdata`

adjust readme 2021-06-18 20:42:03 +02:00			`![](27.gif)`

add link to readme 2021-06-18 20:44:16 +02:00			`It may seem that the quality is not satisfactory for bigger numbers of cluster. That is due to the fact that the data has 17 dimensions and for the purpouse of plotting it is [PCA](https://en.wikipedia.org/wiki/Principal_component_analysis)'ed into just 2 dimensions.`