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文件名称:feature-selection-master

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mRMR(最小冗余最大相关)算法,有说明有源码(mRMR (minimum redundancy maximum correlation))
相关搜索: 特征选择 mrmr

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
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

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