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Description: mRMR(min-redundancy max-relevance)的matlab程序-matlab program of mRMR(min-redundancy max-relevance)
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Size: 492544 |
Author: reallycsc |
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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: 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.
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Size: 1024 |
Author: jcm |
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Description: This 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 minimum redundency and max relevance and Ftest. Originally it is written for gene selection but can be used for any kind of feature selection.
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Size: 2048 |
Author: vida |
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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.
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Size: 998400 |
Author: mali |
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Description: meta biomarker code matlab for feature s selection uses filer methods Relief and mrmr with svm and knn like classifier for validation
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Size: 2048 |
Author: karima |
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Description: 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)
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Size: 303104 |
Author: 畅畅507
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Description: The matlab code mRMR use for feature selection
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Size: 2048 |
Author: saeed344
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Description: 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工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。
费雪评分（Fisher评分）
围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m)
Needs external library. See mRMR.m for details.
Download a newer version of the mutual information toolbox
Partial Least Squares (PLS) regression coefficients (regCoef.m)
Uses plsregress.m from MATLAB statistics toolbox
ReliefF (classification) and RReliefF (regression) (relieffWrapper.m)
Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards.
Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation.
Fisher Score (fisherScore.m)
Wraps around fsFisher.m from the ASU Feature Selection toolbox)
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Size: 11264 |
Author: smilingcost |
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Description: 互信息的MATLAB代码，经典算法MIFS，MRMR等，能正常运行(MI MATLAB code MIFS,MRMR...)
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Size: 611328 |
Author: Scorpio222 |
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