Fuzzy prototype selection-based classifiers for imbalanced data. Case study

Yanela Rodríguez ÁlvarezMaría Matilde García LorenzoYailé Caballero MotaYaima FilibertoIsabel M. García HilariónDaniela Machado Montes deRafael Bello2026-03-222026-03-22202210.1016/j.patrec.2022.07.003https://doi.org/10.1016/j.patrec.2022.07.003https://andeanlibrary.org/handle/123456789/50873Citaciones: 5enArtificial intelligenceFuzzy logicComputer scienceMachine learningSelection (genetic algorithm)Similarity (geometry)Data miningClass (philosophy)Fuzzy prototype selection-based classifiers for imbalanced data. Case studyarticle