Computes the sum of intra-cluster distance variances according to the formula:
\( score = \sum\limits_{i=1}^n \sigma_i^2 \)
where n is the number of clusters and \( \sigma_i^2 \) is the variance of intra-cluster distances of cluster \( c_i \).
@param < T> the type of the clustered points
@since 3.3
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