搜索资源列表
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模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
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高校的ICA计算代码，广泛用于特征选择，降维，目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
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粗糙集代码
data reduction with fuzzy rough sets or fuzzy mutual information
fuzzy preference rough set based feature evaluation and selection
-Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set bas
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该代码为PCA主成分分析，可用于特征选择，选取贡献最大的前三个主成分-The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components
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hierarchical feature selection code in matlab-hierarchical feature selection code in matlab..
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用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
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invariant moment feature selection of an image, matlab code
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模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural networks, 1_k neighbor method, the clip method, feature selection and feature transformati
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主成分分析法实现特征选择，里面有非常详细的算法介绍，还有一个现实实例介绍，非常具象，里面贴有实现算法的matlab代码-Principal component analysis （PCA）to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
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用matlab实现三类三维的特征选择，效果特别好-feature selection code of matlab
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一种基于matlab的神经网络编码特征选择。特征点提取。-Based on neural network matlab coding feature selection. Feature point extraction.
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It contains MATLAB source code for different feature selection algorithms
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模式识别中基于可分离性判据的特征选择的matlab实现的源码及注释-In the pattern recognition based on feature selection of separability criterion of matlab source code and annotations
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The matlab code mRMR use for feature selection
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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
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是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。(Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification)
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