An implementation of the relational k-means algorithm

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Szalkai, Balázs;
  • Subject: Computer Science - Computer Vision and Pattern Recognition | Computer Science - Mathematical Software | Computer Science - Learning

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 matri... View more
  • References (3)

    [1] Richard J. Hathaway and James C. Bezdek. Nerf c-means: Non-euclidean relational fuzzy clustering. Pattern Recognition, 27(3):429-437, 1994.

    [2] J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In L. M. Le Cam and J. Neyman, editors, Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pages 281-297. University of California Press, 1967.

    [3] B. Szalkai. Generalizing k-means for an arbitrary distance matrix. ArXiv e-prints, March 2013.

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