In the k-mean clustering algorithm, choosing the number of clusters k with the highest total sum of squares is the best way to find the number optimal k. True False
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Step 1: The statement in the question suggests that choosing the number of clusters k with the highest total sum of squares is the best way to find the optimal number of k in k-means clustering algorithm. Show more…
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