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...