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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: MRMR和relieff特征选择方法，很经典的，简单易用！-The the MRMR and the relieff feature selection method, very classic, simple and easy to use!
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Size: 103424 |
Author: 代江艳 |
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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: mRMR(最小冗余最大相关)的比较好的文档，可参考一下-mRMR (minimum redundancy maximum correlation) of good documentation, reference
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Size: 3987456 |
Author: sha |
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Description: 特征选择工具箱，用于数据特征提取，数据降维包括mRMR等-feature selection toolbox,MItoolbox
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Size: 82944 |
Author: 邱 |
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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: 最大相关最小冗余的代码，用于对特征进行选择(MRMR feature selection code)
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Size: 489472 |
Author: 涂改液
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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: mrmr的代码，我也不知道对不对 ，我是下载的，有知道的可以跟我说(MRMR code, I don't know if it's right, I'm downloading it, you know, you can tell me.)
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Size: 1555456 |
Author: siqi_1112 |
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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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Description: 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)
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Size: 1576960 |
Author: xy1212 |
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Description: 特征选择方法，用于降低数据维数，常见的一种特征筛选手段，可以从大量变量中筛选特征变量实现保留变量与目标之间的最大相关性(feature selection method for mRMR)
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Size: 10317824 |
Author: 不真实 |
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Description: 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)
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Size: 1024 |
Author: 半岛未凉 |
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Description: mRMR算法，用于特征选择，包含代码和例子(mRMRalgorithm for feature selection, code and example)
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Size: 101376 |
Author: yinger33 |
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Description: mRMR(最小冗余最大相关)算法，有说明有源码(mRMR (minimum redundancy maximum correlation))
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Size: 128000 |
Author: awsl事实上 |
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