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Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms.

, , and . Neural Networks, 9 (5): 787-796 (1996)

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Extending fuzzy and probabilistic clustering to very large data sets., and . Comput. Stat. Data Anal., 51 (1): 215-234 (2006)Shell-prototype clustering models., , and . ICNN, page 1617-1621. IEEE, (1995)Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms., and . International Conference on Evolutionary Computation, page 589-594. IEEE, (1994)Kernelized Non-Euclidean Relational c-Means Algorithms., , and . Neural Parallel & Scientific Comp., (2005)bigVAT: Visual assessment of cluster tendency for large data sets., , and . Pattern Recognit., 38 (11): 1875-1886 (2005)On relational data versions of c-means algorithms., , and . Pattern Recognit. Lett., 17 (6): 607-612 (1996)Switching regression models and fuzzy clustering., and . IEEE Trans. Fuzzy Syst., 1 (3): 195-204 (1993)Fuzzy Systems Toolbox, Fuzzy Logic Toolbox Software Review., and . IEEE Trans. Fuzzy Syst., 4 (1): 82 (1996)Density-Weighted Fuzzy c-Means Clustering., and . IEEE Trans. Fuzzy Syst., 17 (1): 243-252 (2009)Optimization of clustering criteria by reformulation., and . IEEE Trans. Fuzzy Syst., 3 (2): 241-245 (1995)