The endpoint of a k-means clustering algorithm occurs when
A. Euclidean distance between clusters is minimized.
B. Euclidean distance between observations in a cluster is maximized.
C. no further changes are observed in cluster structure and number.
D. all of the observations are encompassed within a single large cluster with mean k.
Answer: C
Business
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