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mrmr-ftest.zip
- This is a code for feature selection. Which combines minimum redundency and max relevance and Ftest. Originally it is written for gene selection but can be used for any kind of feature selection.,This is a code for feature selection. Which combines m
mRMRFeatureSelection
- mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent pu
mRMR_0.9_compiled
- mRMR(min-redundancy max-relevance)的matlab程序-matlab program of mRMR(min-redundancy max-relevance)
kl_transform
- KL变换的MATLAB源码程序，用于图形图像地震资料等的处理。效果良好。-KL transform MATLAB source code program for graphic images such as seismic data processing. Good results.
mrmr
- 特征选择的最大相关最小冗余算法，采用信息理论作为度量标准。-Feature selection algorithm for minimum redundancy and maximum correlation, the use of information theory as a metric.
Meta-Biomarker.tar
- meta biomarker code matlab for feature s selection uses filer methods Relief and mrmr with svm and knn like classifier for validation
mi.0.912
- 该算法用mrmr对支持向量机进行分类 简洁明了 用以理解(The algorithm uses mrmr to classify the support vector machine for simplicity)
fhgkj-master
- The matlab code mRMR use for feature selection
feature-selection-master
- 最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA
FSLib_v6.0_2018
- 互信息的MATLAB代码，经典算法MIFS，MRMR等，能正常运行(MI MATLAB code MIFS,MRMR...)
mrmr最大相关
- mrmr最大相关最小冗余，matlab源程序