Agglomerative clustering of nonmetric dissimilarities

ID: agglomerative-clustering-of-nonmetric-dissimilarities

The min and max cross-pair definitions of single-linkage clustering and complete-linkage clustering remain meaningful for a symmetric nonnegative dissimilarity matrix that violates the triangle inequality. Such a calculation gives a valid algorithmic dendrogram, but does not turn the original matrix into Euclidean distances. A triangle-inequality counterexample identifies that source defect without requiring invented replacement data.

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