An Efficient Feature Selection Method Using the Granular-Ball Divergence-Based Fuzzy Rough Hypergraph
Granular-Ball Computing (GBC) is an efficient, robust, and highly interpretable multi-granularity representation and computation method. Nonetheless, most feature selection methods based on GBC require considerable time to calculate the significance measures of features or repeatedly generate granular balls, which limi...