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 .
Thanks for your sharing!So suprised to get it!
Dear Han Yan,
Some researchers do normalization but some do not. In some cases, normalization makes accuracy higher but some do not. You need to test it.
Do we need to normalize before the feature selection algorithm? Thank you.
Thanks for sharing helpful code.. Kindly, could you refer to the research papers of these algorithms?
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