本工具箱包括以下4种常用的滤波器特征选择算法仿真：
(1) Relief-F (RF)
(2) Pearson Correlation Coefficient (PCC)
(3) F-score (FS)
(4) Term Variance (TV)
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)
“Main”脚本显示了如何将这些滤波器特性选择程序与基准数据集一起使用的示例。
The “Main” script shows the examples on how to use these filter feature selection programs with the benchmark data set.
完整源码下载地址：
http://page2.dfpan.com/fs/7l3c7je2729122b9169/
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