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经典特征选择程序，在特征提取完成后进行特征选择可以达到提取有用成分的目的-Feature selection procedure, after completion of the feature extraction feature selection can achieve the purpose of extracting useful components
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feature selection based of Forwad search
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The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing
A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selec
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relief 特征选择 机器学习 数据挖掘 特征权重-Relief feature selection machine learning data mining feature weights
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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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利用距离求解的特征选择算法，针对两类问题的Relief算法-feature selection
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Relief 特征选择算法matlab实现-Relief feature selection
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Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
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relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)
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matlab基于Relief算法的特征权重选择，有效地选择出了权重数据(Based on the feature weight selection of Relief algorithm, the weighting data are effectively selected)
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