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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.,This is a code for feature selection. Which combines m
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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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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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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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It contains MATLAB source code for different feature selection algorithms
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this codes is Source code for face detection of viola paper.of its Features is:
Feature Computation: The “Integral” image representation
Feature Selection: The AdaBoost training algorithm .
Real-timeliness: A cascade of classifiers.-this code
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this code is for Feature subset selection using differential evolution and and was written by language matlab .-this code is for Feature subset selection using differential evolution and and was written by language matlab .
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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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