K-means is not deterministic and it also consists of number of iterations.

Name: K-means is not deterministic and it also consists of number of iterations.
Brand: Quizplus
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Quizplus · Accepted Answer

K-means clustering algorithm is not deterministic because the initial placement of centroids is usually random, which can lead to different results on different runs. It also iteratively updates the centroids until a stopping criterion is met, hence it consists of a number of iterations.

K-Means Is Not Deterministic and It Also Consists of Number