The Endpoint of a K-Means Clustering Algorithm Occurs When

Multiple Choice

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.