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What is Evolving Methodologies in Feature Selection about?

This document summarizes research on feature selection methodologies. It provides a taxonomy of feature selection methods, including supervised, unsupervised, filter, wrapper and embedded methods. It then reviews 18 related works on feature selection, discussing methods like mutual information, particle swarm optimization, correlation-based feature selection, and causality-based feature selection. Several papers propose new feature selection algorithms and evaluate them on benchmark datasets. The document a

Author

II9I4005I Uni Andriani Sitohang (119140051 Uni A Sitohang)

Language

EN