1,720,978 research outputs found

    Median fuzzy-c-means for clustering dissimilarity data

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    Geweniger T, Zülke D, Hammer B, Villmann T. Median fuzzy-c-means for clustering dissimilarity data. Neurocomputing. 2010;73(7-9):1109-1116

    Fuzzy Classification by Fuzzy Labeled Neural Gas

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    Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W. Fuzzy Classification by Fuzzy Labeled Neural Gas. Neural Networks. 2006;19(6-7):772-779

    Multivariate class labeling in Robust Soft LVQ

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    Schneider P, Geweniger T, Schleif F-M, Biehl M, Villmann T. Multivariate class labeling in Robust Soft LVQ. In: Proceedings of ESANN 2011. 2011: 17-22

    Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes

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    Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B. Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. In: Schwenker F, ed. Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Berlin: Springer; 2006: 46-56

    Learning vector quantization for heterogeneous structured data

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    Zühlke D, Schleif F-M, Geweniger T, Villmann T. Learning vector quantization for heterogeneous structured data. In: Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN) 2010. Evere, Belgium: d-side publications; 2010

    Median variant of fuzzy-c-means

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    Geweniger T, Zühlke D, Hammer B, Villmann T. Median variant of fuzzy-c-means. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. Evere: d-side publications; 2009: 523-528

    Fuzzy Labeled Neural GAS for Fuzzy Classification

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    Villmann T, Hammer B, Schleif F-M, Geweniger T. Fuzzy Labeled Neural GAS for Fuzzy Classification. In: Cottrell M, ed. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM]. Paris, France: University Paris-1-Pantheon-Sorbonne; 2005: 283-290

    Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity

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    Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T. Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity. In: Köppen M, Kasabov NK, Coghill GG, eds. ICONIP 2008. Berlin, Heidelberg: Springer; 2008: 61-69

    Fuzzy variant of affinity propagation in comparison to median fuzzy c-means

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    Geweniger T, Zühlke D, Hammer B, Villmann T. Fuzzy variant of affinity propagation in comparison to median fuzzy c-means. In: Principe JC, Miikkulainen R, eds. Advances in Self-Organizing Maps. 2009: 72-79

    Prototype based classification using information theoretic learning

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    Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M. Prototype based classification using information theoretic learning. In: King I, Wang J, Chan L, Wang DLL, eds. Neural Information Processing, 13th International Conference. Proceedings. Lecture Notes in Computer Science, 4233. Vol Part II. Berlin: Springer; 2006: 40-49
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