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New modifications and applications of fuzzy C-means methodology

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  • Berget, Ingunn
  • Mevik, Bjorn-Helge
  • Naes, Tormod

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  • Berget, Ingunn & Mevik, Bjorn-Helge & Naes, Tormod, 2008. "New modifications and applications of fuzzy C-means methodology," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2403-2418, January.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:5:p:2403-2418
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    References listed on IDEAS

    as
    1. Mevik, B.-H.Bjorn-Helge, 2004. "Assessing the performance of classifiers when classes arise from a continuum," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 689-705, July.
    2. Rousseeuw, P. J. & Kaufman, L. & Trauwaert, E., 1996. "Fuzzy clustering using scatter matrices," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 135-151, November.
    3. Doring, Christian & Lesot, Marie-Jeanne & Kruse, Rudolf, 2006. "Data analysis with fuzzy clustering methods," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 192-214, November.
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    Cited by:

    1. Antoine, V. & Quost, B. & Masson, M.-H. & Denœux, T., 2012. "CECM: Constrained evidential C-means algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 894-914.
    2. Javier Palarea-Albaladejo & Josep Martín-Fernández & Jesús Soto, 2012. "Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 144-169, July.
    3. Shu-Yi Chi & Tsorng-Chyi Hwang & Li-Hsien Chien, 2023. "Business Policy and Competitiveness of Farmers’ Organizations—Empirical Evidence from Taiwan," Agriculture, MDPI, vol. 13(3), pages 1-17, February.

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