Search - feature selection in matlab

Search - feature selection in matlab - List

[matlab] distor DL : 0: 图像模板匹配计算，逐象素移动计算当前模板数据，提取图像特征点-image template matching, pixel-by-mobile current template data, image feature extraction point
Update : 2025-02-17 Size : 2kb Publisher : 李庆山
[matlab] r-lda DL : 0: 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 : 2025-02-17 Size : 637kb Publisher : qiuzhihao
[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 : 2025-02-17 Size : 194kb Publisher : xuechaoling
[AI-NN-PR] GASVM DL : 2: 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 : 2025-02-17 Size : 136kb Publisher : 覃茂运
[Special Effects] LDA DL : 0: 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
Update : 2025-02-17 Size : 55kb Publisher : 苗晨
[AI-NN-PR] mRMRFeatureSelection DL : 0: mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.
Update : 2025-02-17 Size : 997kb Publisher : 韩华
[matlab] @fisher DL : 0: fisaher analysis feature selection
Update : 2025-02-17 Size : 7kb Publisher : aamir
[Mathimatics-Numerical algorithms] ica_appD_demo DL : 0: 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 : 2025-02-17 Size : 2kb Publisher : anan
[Special Effects] kmeans-image-segmentation DL : 0: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
Update : 2025-02-17 Size : 45kb Publisher : renli
[matlab] SVM DL : 0: Colletion of SVM-gentetice feature selection programs that implement in matlab
Update : 2025-02-17 Size : 142kb Publisher : jabi
[Special Effects] xinxishang DL : 0: ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。-: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entropy and mixing entropy, and then describes the two definitions do not have the physical meaning of the calculation of entropy in the range of the most critical partitioning problem and propose a better method of interval division.
Update : 2025-02-17 Size : 281kb Publisher : wangcong
[Mathimatics-Numerical algorithms] Matlabcode DL : 0: 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 : 2025-02-17 Size : 38kb Publisher : gq
[matlab] Hierarchical DL : 0: hierarchical feature selection code in matlab-hierarchical feature selection code in matlab..
Update : 2025-02-17 Size : 3kb Publisher : viralborisagar
[Mathimatics-Numerical algorithms] Kuschner-BayesianNetwork-feature DL : 0: Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete theory analysis, can be used for spectrum sensing cognitive radio networks and other new fields. Matlab program contains more than 100 pages, Functions a lot.
Update : 2025-02-17 Size : 1.97mb Publisher : 孟庆民
[AI-NN-PR] feature-selection-svm DL : 0: 特征选择算法，效果很好。可以解决维数高、训练样本数少的问题。-include both C version (mex-function) and Matlab version: SBSVM_c.cc SBSVM_m.m A testing case is also provided in file Speed_Comp.m
Update : 2025-02-17 Size : 150kb Publisher : 刘阳
[AI-NN-PR] Feature-selection- DL : 0: 基于基因遗传算法的特征选择程序高喊制图功能,直接给出匹配耦合-Feature selection based on GA in Matlab
Update : 2025-02-17 Size : 2kb Publisher : aimove
[Windows Develop] Binary-Genetic-Algorithm-Feature-Selection-(2).zi DL : 0: 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 : 2025-02-17 Size : 1.37mb Publisher : abdalla
[matlab] cloudy DL : 0: confusion matrix feature selection in clody system matlab
Update : 2025-02-17 Size : 855kb Publisher : mamadi72
[AI-NN-PR] Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification DL : 1: 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。文章关键字：特征选择；粒子群算法；大规模；自适应；分类
Update : 2019-12-06 Size : 20.56mb Publisher : bengbengkaka
[AI-NN-PR] code DL : 0: 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 : 2025-02-17 Size : 20.42mb Publisher : bengbengkaka

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