MOPSO-ES: Multi-objective particle swarm optimization algorithm based on niche technology and dynamic elliptical segmentation with distance screening mechanism for high-dimensional feature selection
Feature selection (FS) is a core preprocessing technique for improving data quality, and it often needs to strike a balance between the conflicting goals of maximizing classification accuracy and minimizing feature dimension. A multi-objective particle swarm optimization algorithm (MOPSO-ES) based on niche technology a...