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"KMeans and KMedoids - Comparison of results/performance"

SilenceSilence Member Posts: 7 Contributor II
edited June 2019 in Help
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!
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