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Simple Filter Feature Selection Algorithms

version 1.0.1 (59.9 KB) by Jingwei Too
Simple, fast and ease of implementation. The filter feature selection algorithms include Relief-F, PCC and F-score.


Updated 21 May 2019

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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.

Cite As

Jingwei Too (2020). Simple Filter Feature Selection Algorithms (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)


Thanks for sharing helpful code.. Kindly, could you refer to the research papers of these algorithms?




MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Simple Filter Feature Selection Algorithms