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code-Feature-Selection-using-Matlab
- 主要完成图像特征出提取，包括5个特征选择算法：SFS，SBS，SFBS-Descr iption The DEMO includes 5 feature selection algorithms: Sequential Forward Selection (SFS) Sequential Floating Forward Selection (SFFS) Sequential Backward Selection (SBS) Sequential Floating Bac
Feature-Selection-Algorithms
- It contains MATLAB source code for different feature selection algorithms
01-Binary-Feature-Selection-using-GA
- Feature Selection Using Genetic Algorithm
02-Fixed-Feature-Selection-using-SA-and-ACO
- Feature Selection Using Simulatd Annealing
03-Fixed-Feature-Selection-using-PSO
- Feature Selection Using PSO
04-Multi-Objective-Feature-Selection-using-NSGA-I
- Feature Selection Using NSGA-Feature Selection Using NSGAII
Feature-Selection-(SVMs)
- Machine Learning Feature Selection (SVMs)
ACO-feature-selection
- 蚁群优化算法，可用于特征选择，适用于模式识别-Ant colony optimization algorithm can be used for feature selection for Pattern Recognition
feature-selection-with-genetic-algorithm
- feature selection with genetic algorithm
CACC
- 波段选择 特征选择 属性选择 matlab 很不错(Band selection feature selection attribute selection matlab very good)
ypml122-evolutionary-feature-selection
- Matlab Feature Selection Greedy MATLAb
57504
- aco code foe feature selection
matlab 蚁群算法ACO_feature_selection
- 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)
FSelector_0.21.tar
- feature selection using F selector code
fhgkj-master
- The matlab code mRMR use for feature selection
58095
- feature selection for matlab
bootstrap-datepicker-1.6.4-dist
- feature selection for matlab2
feature-selection-master
- 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
BSOFS
- 改进的头脑风暴算法（MBSO）用于特征选择，MBSO方法文章来源：Zhan, Zhi Hui, et al. "A modified brain storm optimization." Evolutionary Computation IEEE, 2012:1-8.(Improved brainstorming algorithm for feature selection, MBSO method source: Zhan, Zhi Hui, et al. "A
BPSO for feature selection
- 二进制粒子群算法（Binary particle swarm optimization algorithm，BPSO）解决特征选择问题。(Binary particle swarm optimization algorithm for feature selection problem)