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- W2059280536 abstract "Median clustering is a powerful methodology for prototype based clustering of similarity/dissimilarity data. In this contribution we combine the median c-means algorithm with the fuzzy c-means approach, which is only applicable for vectorial (metric) data in its original variant. For the resulted median fuzzy c-means approach we prove convergence and investigate the behavior of the algorithm in several experiments including real world data from psychotherapy research." @default.
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- W2059280536 date "2010-03-01" @default.
- W2059280536 modified "2023-10-14" @default.
- W2059280536 title "Median fuzzy c-means for clustering dissimilarity data" @default.
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- W2059280536 doi "https://doi.org/10.1016/j.neucom.2009.11.020" @default.
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