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For two runs of K-Mean clustering, is it expected to get the same clustering results?

A. Yes

B. No

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Answer: (B)

K-Means clustering algorithm instead converses on local minima, which might also correspond to the global minima in some cases but not always. Therefore, it’s advised to run the K-Means algorithm multiple times before drawing inferences about the clusters.

However, note that it’s possible to receive the same clustering results from K-means by setting the same seed value for each run. But that is done by simply making the algorithm choose the set of the same random no. for each run.

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