Description: 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 publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.
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Size: 1020928 |
Author:韩华 |
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Description: 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. Platform: |
Size: 998400 |
Author:mali |
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Description: 两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection Platform: |
Size: 3072 |
Author:huan |
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Description: FCBF算法是基于显著的思想，采用后向顺序搜索策略快速有效地寻找最优特征子集的特征选择方法，它采用对称不确定性作为相关程度度量标准，每次选择一个显著特征并删除它的所有冗余特征。(The FCBF algorithm is based on the significant idea, using the backward sequential search strategy to find the feature selection method quickly and effectively. It uses the symmetric uncertainty as the correlation measure, and selects a significant feature each time and deletes all the redundant features.) Platform: |
Size: 2048 |
Author:星悠 |
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Search - matlab correlation feature selection