Minimum Redundancy Maximum Relevance Feature Selection

Two source files implementing Minimum Redundancy Maximum Relevance (mRMR) feature selection method, primarily designed for image feature selection applications

Maximum Relevance Ranking Algorithm Based on Mutual Information Theory

Feature selection method using mutual information for identifying the most relevant feature subset through statistical dependency quantification