Question: Given two different sets of clusters obtained after two independent runs of the K-Means algorithm to cluster some unlabeled dataset, how do you evaluate the

Given two different sets of clusters obtained after two independent runs of the K-Means algorithm to cluster some unlabeled dataset, how do you evaluate the quality of these two set of clusters? (Just describe evaluation criteria without mathematical expressions)

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