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.


C

Business

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Business