The aim is to divide the dataset into clusters.
Unsupervised learning.
The results were shown with plots.
And to explore something more interesting, I discussed on the selection of value k, with "elbow method".
For Iris dataset we consider 3 is best k value according to "elbow method".
Project report included.
Datasets: ”exampledataset.txt”; ”iris.data”; ”data_banknote_authentication.txt”.
Code related to the algorithm located in file "kmedoids.py".