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- W1979700117 abstract "A new method of fuzzy clustering is proposed. This is a complete Gaussian membership function derived by means of the maximum-entropy interpretation. Compared to the traditional fuzzy c-means (FCM) method, our approach exhibits the following two advantages: (1) having clearer physical meaning and well-defined mathematical features; (2) having an optimal choice for feature parameter σ in theory. Moreover, we also review some existing measures of uncertainty of fuzzy sets, and redefine fuzzy entropy as analogous to probabilistic entropy." @default.
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- W1979700117 date "1999-03-01" @default.
- W1979700117 modified "2023-10-17" @default.
- W1979700117 title "Gaussian clustering method based on maximum-fuzzy-entropy interpretation" @default.
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- W1979700117 doi "https://doi.org/10.1016/s0165-0114(97)00126-7" @default.
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