When the k-means clustering algorithm runs, it uses a randomly generated seed to determine the starting centroids of the clusters. wiki article If the feature variables exhibit patterns that automatically group them into visible clusters, then the starting seed will not have an impact on the final cluster memberships. However, if the data is evenly distributed, then we might end up with differen…
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