The endpoint of a k-means clustering algorithm occurs when:
A) Euclidean distance between clusters is minimum.
B) Euclidean distance between observations in a cluster is maximum.
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 k-means algorithm repeats the process (calculate cluster centroid, assign observation to cluster with nearest centroid) until there is no change in the clusters or a specified maximum number of iterations is reached.

The Endpoint of a K-Means Clustering Algorithm Occurs When