A. Alsadoun

Fuzzy Reverse Neighborhood Discriminant Analysis: Soft Memberships, Adaptive Graphs, and Choquet-Integral Fusion for Robust Feature Extraction

Conventional linear discriminant analysis (LDA) and its graph-based extensions encounter challenges with class overlap, uneven sampling, and inflexible neighborhood selection. Although reverse nearest neighbor (RNN) graphs address data density, standard Reverse Neighborhood Discriminant Analysis (RNDA) relies on hard l...