Search - matlab feature selection

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[Graph program] feature_selection DL : 1: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure
Update : 2025-02-19 Size : 4kb Publisher : 夏玉
[matlab] lda DL : 0: 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
[AI-NN-PR] tezhengxuanzhe DL : 0: 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
Update : 2025-02-19 Size : 1kb Publisher : 王将
[Software Engineering] CAGA_O_F DL : 0: 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
Update : 2025-02-19 Size : 1.02mb Publisher : 李明
[Windows Develop] Bolasso-feature-selection-prediction DL : 0: 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 feature selection, it uses a method of self-help Bootstrap sampling Tikhonov reunification, and Karl Skoglund used to achieve the lars.
Update : 2025-02-19 Size : 194kb Publisher : xuechaoling
[matlab] Collaborativefuzzyclusteringmodel DL : 1: 协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。-Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.
Update : 2025-02-19 Size : 3kb Publisher : zhangwenming
[matlab] featureselection DL : 1: 基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
Update : 2025-02-19 Size : 7kb Publisher : allcy
[matlab] Verver_FS_Version_5.1.6 DL : 0: Feature Selection using matlab
Update : 2025-02-19 Size : 2.35mb Publisher : ali
[Editor] IEEEXplore-4.pdf DL : 0: Mutual Information Feature Selection
Update : 2025-02-19 Size : 344kb Publisher : will
[Windows Develop] PresentationPro_FreeSample.ZIP DL : 0: this file is for feature selection
Update : 2025-02-19 Size : 2.63mb Publisher : majid
[matlab] @clustub DL : 0: Cluster based feature selection
Update : 2025-02-19 Size : 8kb Publisher : aamir
[matlab] @fisher DL : 0: fisaher analysis feature selection
Update : 2025-02-19 Size : 7kb Publisher : aamir
[matlab] ACO DL : 0: aco feature selection
Update : 2025-02-19 Size : 2kb Publisher : mehdi
[matlab] SVM DL : 0: Colletion of SVM-gentetice feature selection programs that implement in matlab
Update : 2025-02-19 Size : 142kb Publisher : jabi
[matlab] Sequential_Feature_Selection DL : 0: matlab 特征选择matlab源代码-matlab feature selection
Update : 2025-02-19 Size : 1kb Publisher : 李军
[AI-NN-PR] Feature Selection matlab toolbox DL : 0: It's a Matlab toolbox designed by ASU. It is easy to use and you can use it to achieve the feature selection, classify and so on.
Update : 2025-02-19 Size : 8.5mb Publisher : liang911
[Other] ypml122-evolutionary-feature-selection DL : 0: Matlab Feature Selection Greedy MATLAb
Update : 2025-02-19 Size : 77kb Publisher : minimaha
[matlab] matlab 蚁群算法ACO_feature_selection DL : 0: 蚁群算法用与特征选择，针对传统蚁群聚类算法收敛速度过慢的问题，提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性，使聚类算法实验效果精度低和耗时大，将邻域特征选择与聚类算法结合，提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
Update : 2025-02-19 Size : 3kb Publisher : lpoi
[matlab] feature-selection-master DL : 0: 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
[matlab] Feature Selection using GA DL : 1: 用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.)
Update : 2025-02-19 Size : 3.19mb Publisher : xiaohe1234

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