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经典的LDA特征选择算法,用matlab实现,包括数据集-LDA classic feature selection algorithm, using matlab to achieve, including a data set
Update : 2025-02-19 Size : 13kb Publisher : shall

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Matlab source codes for the regularized linear discriminant analysis (R-LDA),Author: Lu Juwei,Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto,Released in 01 November 2004 -Matlab source codes for the regularized linear discriminant analysis (R-LDA), Author: Lu Juwei, Bell Canada Multimedia Lab, Dept. Of ECE, U. of Toronto, Released in 01 November 2004
Update : 2025-02-19 Size : 637kb Publisher : qiuzhihao

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用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集,并完成归一化操作-Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run directly. UCI data sets used in the german data set, and complete normalization operation
Update : 2025-02-19 Size : 136kb Publisher : 覃茂运

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 transformation.
Update : 2025-02-19 Size : 419kb Publisher : 李元

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.
Update : 2025-02-19 Size : 2kb Publisher : vida

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.
Update : 2025-02-19 Size : 2kb Publisher : anan

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 based feature evaluation and selection
Update : 2025-02-19 Size : 38kb Publisher : gq

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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
Update : 2025-02-19 Size : 2kb Publisher : vivi

hierarchical feature selection code in matlab-hierarchical feature selection code in matlab..
Update : 2025-02-19 Size : 3kb Publisher : viralborisagar

用matlab实现三类三维的特征选择,效果特别好-feature selection code of matlab
Update : 2025-02-19 Size : 4kb Publisher : 胡永攀

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.
Update : 2025-02-19 Size : 3.15mb Publisher : wangru

gene feature selection matlab code
Update : 2025-02-19 Size : 3kb Publisher : Senthil kumar

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 incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.-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 incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.
Update : 2025-02-19 Size : 1.37mb Publisher : abdalla

主要完成图像特征出提取,包括5个特征选择算法:SFS,SBS,SFBS-Description The DEMO includes 5 feature selection algorithms: Sequential Forward Selection (SFS) Sequential Floating Forward Selection (SFFS) Sequential Backward Selection (SBS) Sequential Floating Backward Selection (SFBS) ReliefF
Update : 2025-02-19 Size : 3.13mb Publisher : fuhuan

It contains MATLAB source code for different feature selection algorithms
Update : 2025-02-19 Size : 8.33mb Publisher : Arunkumar

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 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.
Update : 2025-02-19 Size : 411kb Publisher : fatemeh

The matlab code mRMR use for feature selection
Update : 2025-02-19 Size : 2kb Publisher : saeed344

Feature selection method using mtalb code
Update : 2025-02-19 Size : 576kb Publisher : aldhyani

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)
Update : 2025-02-19 Size : 11kb Publisher : smilingcost

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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)
Update : 2025-02-19 Size : 20.42mb Publisher : bengbengkaka
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