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GAACO.rar
- genetic algorithm combine Ant colony optimization for feature selection,genetic algorithm combine Ant colony optimization for feature selection
mRMRFeatureSelection
- 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 pu
FeatureSelection
- Feature Selection using Matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward Selection (SBS) • Se
tezhengxuanzhe
- 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
Collaborativefuzzyclusteringmodel
- 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.
featureselection
- 基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
Verver_FS_Version_5.1.6
- Feature Selection using matlab
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
Patternrecognition
- 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 transformatio
@clustub
- Cluster based feature selection
@fisher
- fisaher analysis feature selection
@fsv
- feature selection based of Forwad search
ACO
- aco feature selection
featureselectionEP
- feature selection using evolutionary algorithm
pearson
- feature selection based on pearson coffeicients
ica_appD_demo
- 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.
psofeatureselection
- 用粒子群优化算法进行特征选择和SVM参数优化-Using Particle Swarm Optimization algorithm of feature selection and SVM parameter optimization
SVM
- Colletion of SVM-gentetice feature selection programs that implement in matlab
Sequential_Feature_Selection
- matlab 特征选择matlab源代码-matlab feature selection
Feature Selection matlab toolbox
- 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.