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The initial centroid is a fairly challenging problem in the k-means methodbecause it can affect the clustering results. In addition, choosing thestarting centroid of the cluster is not always appropriate, especially, whenthe number of groups increases.

Tackling Initial Centroid of K-Means with Distance Part (DP-KMeans)