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"KMeans and KMedoids - Comparison of results/performance"
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!
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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