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How is the final set of clusters determined in the k-means algorithm? A. By selecting the set of clusters that maximize the sum of squared errors B. By selecting the set of clusters that minimize the within-cluster variance C. By selecting the set of clusters that maximize the within-cluster variance D. By selecting the set of clusters that minimize the sum of squared errors
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