"KMeans and KMedoids - Comparison of results/performance"

Silence

Good day everyone!

After trying k-Means, I've decided to try another clustering method for my data set. This time, the k-Medoids algorithm.

In comparing the results or performance of the two clustering algorithms, what are the important aspects should I focus on?

Thanks~


edit:

Found the answers.  ^^;; You may  now have this thread closed/deleted.
Thanks!