feature-selection-master

代码说明：

说明：  mRMR(最小冗余最大相关)算法，有说明有源码(mRMR (minimum redundancy maximum correlation))

文件列表：

feature-selection-master, 0 , 2019-04-17
feature-selection-master\DATA, 0 , 2019-04-17
feature-selection-master\DATA\ionosphere, 0 , 2019-04-17
feature-selection-master\DATA\ionosphere\Description.txt, 3080 , 2019-04-17
feature-selection-master\DATA\ionosphere\ionosphere, 101503 , 2019-04-17
feature-selection-master\DATA\ionosphere\ionosphere_scale, 102170 , 2019-04-17
feature-selection-master\MI, 0 , 2019-04-17
feature-selection-master\MI\elementmexheader.h, 477 , 2019-04-17
feature-selection-master\MI\estmutualinfo.cpp, 3566 , 2019-04-17
feature-selection-master\MI\estmutualinfo.mexw64, 13824 , 2019-04-17
feature-selection-master\MI\estpab.cpp, 5948 , 2019-04-17
feature-selection-master\MI\estpab.mexw64, 17920 , 2019-04-17
feature-selection-master\MI\miinclude.h, 521 , 2019-04-17
feature-selection-master\MI\mutualinfo.m, 604 , 2019-04-17
feature-selection-master\README.md, 574 , 2019-04-17
feature-selection-master\matlab, 0 , 2019-04-17
feature-selection-master\matlab\Makefile, 1240 , 2019-04-17
feature-selection-master\matlab\README, 9826 , 2019-04-17
feature-selection-master\matlab\libsvmread.c, 4063 , 2019-04-17
feature-selection-master\matlab\libsvmread.mexw64, 13824 , 2019-04-17
feature-selection-master\matlab\libsvmwrite.c, 2341 , 2019-04-17
feature-selection-master\matlab\libsvmwrite.mexw64, 12800 , 2019-04-17
feature-selection-master\matlab\make.m, 888 , 2019-04-17
feature-selection-master\matlab\svm_model_matlab.c, 8205 , 2019-04-17
feature-selection-master\matlab\svm_model_matlab.h, 201 , 2019-04-17
feature-selection-master\matlab\svmpredict.c, 9820 , 2019-04-17
feature-selection-master\matlab\svmtrain.c, 11818 , 2019-04-17
feature-selection-master\method, 0 , 2019-04-17
feature-selection-master\method\SVM_RFE.m, 341 , 2019-04-17
feature-selection-master\method\mRMR, 0 , 2019-04-17
feature-selection-master\method\mRMR\mRMR.m, 1207 , 2019-04-17
feature-selection-master\method\mRMR\test.m, 300 , 2019-04-17
feature-selection-master\method\reliefF.m, 101 , 2019-04-17
feature-selection-master\method\test.m, 300 , 2019-04-17