17 lines
420 B
Markdown
17 lines
420 B
Markdown
# 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
|
|
|
|
![](reg27.gif)
|
|
|
|
Visualization of clustering first 500 data entries (with vector normalization).
|
|
|
|
![](norm27.gif)
|
|
|
|
Visualization of clustering first 500 data entries (with standarization).
|
|
|