搜索资源列表
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.
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)
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
- 最小冗余最大关联算法，在预处理数据时非常有用，可提高预测精度，效果很好(Minimum Redundancy maximum correlation algorithm is useful when data preprocessing, can improve prediction accuracy, good results)
mRMR And Mutual Information
- 一种基于互信息的非均匀最大相关最小冗余的特征排序算法(Ranking Heterogeneous Features With mRMR And Mutual Information)
mRMR2
- mRMR算法，用于特征选择，包含代码和例子(mRMRalgorithm for feature selection, code and example)
feature-selection-master
- mRMR(最小冗余最大相关)算法，有说明有源码(mRMR (minimum redundancy maximum correlation))