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What is within cluster sum of squared errors?
And how is it useful in clustering analysis?
It is useful in evaluating the quality of clustering because it measures how tightly the data points are clustered around the centroid. A lower within cluster sum of squared errors value indicates a more compact and homogeneous cluster.