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Y. Symonov

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Open access Aug 2026

Conservative entropy-regularized feature-weighted fuzzy C-means clustering method

This paper proposes the CERFW-FCM (Conservative Entropy-Regularized Feature-Weighted Fuzzy C-Means) method as a conservatively stabilized extension of the classical fuzzy C-means algorithm for fuzzy clustering of multidimensional numerical data with heterogeneous feature informativeness. The study is motivated by the o...

D. Symonov, Y. Symonov, Bohdan Zaika · 0 citations

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