MRMR and Relief-F Feature Selection Methods: Algorithm Explanations and Implementation Insights

Classic MRMR and Relief-F feature selection methods with practical implementation guidance - simple yet powerful tools for feature dimensionality reduction.

A Feature Selection Method for SVM Leveraging Genetic Algorithm Optimization

A genetic algorithm-based feature selection approach for SVM that reduces feature dimensionality, computational time, and potentially enhances model accuracy through optimal feature subset identification.

Feature Selection Method Using Similarity Measures and Fuzzy Entropy

Feature selection technique employing similarity measures and fuzzy entropy measures, based on the research by P. Luukka (2011) titled "Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier," published in Expert Systems with Applications, Volume 38, Pages 4600-4607