Maximum Relevance Minimum Redundancy Algorithm for Feature Selection
The Maximum Relevance Minimum Redundancy (mRMR) feature selection algorithm utilizes information theory metrics to optimize feature subsets.
Explore MATLAB source code curated for "冗余" with clean implementations, documentation, and examples.
The Maximum Relevance Minimum Redundancy (mRMR) feature selection algorithm utilizes information theory metrics to optimize feature subsets.