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- W2107584181 abstract "This paper proposes a family of fuzzy and hard c-means algorithms. The hard clustering algorithms are derived from defuzzifying a generalized entropy-based fuzzy c-means whereby cluster volume size variables and covariance variables are introduced into hard clustering algorithms. Sequential algorithms are also derived by using advanced formulas of matrix multiplication. Crisp c-means as well as c-regression models are studied. Moreover effectiveness and efficiency of the proposed algorithms are compared using artificial as well as real data sets" @default.
- W2107584181 created "2016-06-24" @default.
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- W2107584181 date "2006-05-25" @default.
- W2107584181 modified "2023-09-27" @default.
- W2107584181 title "A Family of Fuzzy and Defuzzified c-Means Algorithms" @default.
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- W2107584181 doi "https://doi.org/10.1109/cimca.2005.1631463" @default.
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