Modified suppressed relative entropy fuzzy c-means clustering algorithm
Modified suppressed relative entropy fuzzy c-means clustering algorithm is a scholarly work, published in 2024 in ''Journal of Intelligent and Fuzzy Systems''. The main subjects of the publication include anomaly detection, data mining, fuzzy clustering, computer science, algorithm, mathematics, facial recognition system, cluster analysis, and fuzzy logic. Experiments on several synthetic and UCI datasets indicate that MSREFCM can improve the convergence speed and classification performance of the REFCM for spherical and ellipsoidal datasets with imbalanced sizes.