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.

Question

Quizplus · Accepted Answer

The endpoint of a k-means clustering algorithm occurs when no further changes are observed in cluster structure and number. At this point, the algorithm has converged and the centroids of the clusters have stabilized. This can be determined by checking if the assignments of the observations to the clusters remain the same after successive iterations.

The Endpoint of a K-Means Clustering Algorithm Occurs When