Simple Filter Feature Selection Algorithms

Simple, fast and ease of implementation. The filter feature selection algorithms include Relief-F, PCC and F-score.

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.