Within-cluster sum of squares is a statistical measure used in cluster analysis that quantifies the total variation within each cluster. This value helps to assess how well the clusters are formed by measuring the compactness and similarity of the data points within each group. A lower within-cluster sum of squares indicates that the data points in a cluster are closer to each other, suggesting better clustering performance.
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