产品详情
说明： 最大相关最小冗余特征选择方法的源代码，对于机器学习，数据挖掘很有用。
(The maximum correlation minimum redundancy feature selection method of the source code for machine learning, data mining useful.)
(The maximum correlation minimum redundancy feature selection method of the source code for machine learning, data mining useful.)
文件列表：
mrmr_c_src
..........\crank.cpp,496,2009-04-20
..........\Credits,160,2009-04-20
..........\gnu_getline.c,3012,2009-04-20
..........\gnu_getline.h,1498,2009-04-20
..........\gnu_getline.o,1588,2009-04-20
..........\How_to_compile,159,2009-04-20
..........\mrmr,35324,2009-04-20
..........\mrmr.cpp,30127,2013-04-07
..........\mrmr.makefile,501,2009-04-20
..........\mrmr.o,34516,2009-04-20
..........\nrutil.cpp,16840,2009-04-20
..........\nrutil.h,3330,2009-04-20
..........\pbetai.cpp,1927,2009-04-20
..........\README,2446,2009-04-20
..........\sort2.cpp,1572,2009-04-20
..........\crank.cpp,496,2009-04-20
..........\Credits,160,2009-04-20
..........\gnu_getline.c,3012,2009-04-20
..........\gnu_getline.h,1498,2009-04-20
..........\gnu_getline.o,1588,2009-04-20
..........\How_to_compile,159,2009-04-20
..........\mrmr,35324,2009-04-20
..........\mrmr.cpp,30127,2013-04-07
..........\mrmr.makefile,501,2009-04-20
..........\mrmr.o,34516,2009-04-20
..........\nrutil.cpp,16840,2009-04-20
..........\nrutil.h,3330,2009-04-20
..........\pbetai.cpp,1927,2009-04-20
..........\README,2446,2009-04-20
..........\sort2.cpp,1572,2009-04-20
