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这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The main problem for high-latitude fe
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feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data-feature selection from iris data set it will use statistical methods and get the best set of features then us
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this file is for feature selection
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this file is for feature selection
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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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基于Matlab语言的层次特征算法，用于实现图像特诊的提取-Hierarchical feature algorithms based on Matlab language, for the extraction of images to achieve the special diagnosis!!
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This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.
(2) MATLAB code to do Feature Selection Using Genetic Algorithm.
NB:
(i) This code is short BUT it works
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MATLAB代码，利用LDA和相应的特征选择对数据进行分类-MATLAB code, use LDA and the corresponding feature selection data classification
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MATLAB代码，利用K近邻法并使用相应的特征选择对数据进行分类-MATLAB code, the use of K-nearest neighbor method and use the appropriate feature selection data classification
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本程序是一个基于matlab的特征选择程序，可以用于预测方面，实现效果不错-This procedure is a feature selection based on matlab program that can be used to predict aspects of implementation effect is good
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使用了MATLAB对信号进行特征选择，使用的信号有图像信号，一维信号等。对学习信号特征有参考价值。-Using the MATLAB signal for feature selection, use of image signal of the signals, and the one dimensional signal, etc.Characteristics of learning signal has a reference value.
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使用matlab语言编写而成，用于蚁群算法的特征提取和选择，已经验证过了-it is used to feature selection for aco,matlab
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Matlab Feature Selection Greedy MATLAb
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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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Feature selection method using mtalb code
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基于偏最小二乘回归的matlab中无信息变量消除算法的特征选择(Feature Selection of No Information Variable Elimination Algorithm in Matlab Based on Partial Least Squares Regression)
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