Ward clustering merges the pair causing the smallest increase in within-cluster sum of squares. Expanding each cluster's squared deviations about the merged mean gives the displayed increase. Its Euclidean sum-of-squares interpretation must not be asserted for arbitrary non-Euclidean dissimilarities.
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