This toolbox contains four commonly used filter feature selection algorithms
(1) Relief-F (RF)
(2) Pearson Correlation Coefficient (PCC)
(3) F-score (FS)
(4) Term Variance (TV)
The "Main" script shows the examples on how to use these filter feature selection programs with the benchmark data set.
Jingwei Too (2020). Simple Filter Feature Selection Algorithms (https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-algorithms), MATLAB Central File Exchange. Retrieved .