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An implementation of the relational k-means algorithm (1304.6899v1)
Published 25 Apr 2013 in cs.LG, cs.CV, and cs.MS
Abstract: A C# implementation of a generalized k-means variant called relational k-means is described here. Relational k-means is a generalization of the well-known k-means clustering method which works for non-Euclidean scenarios as well. The input is an arbitrary distance matrix, as opposed to the traditional k-means method, where the clustered objects need to be identified with vectors.