搜索资源列表
face-recognition
- 用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
222222111
- fuzzy preference rough set based feature evaluation and selection
tztq
- 特征选择与提取 特征点 matlab应用 可用-Feature selection and extraction of feature points matlab applications available
IFIDF
- this a feature selection by using wvtool tool for creating vector-this is a feature selection by using wvtool tool for creating vector
code
- 利用互信息赛选特征，赛选与类别不相关，冗余的特征，保留与类别相关的特征，对特征对类别的贡献率排序，保留前面的K个特征最为最后的特征-Feature selection using mutual information game, not related to race and class selection, redundancy features, retaining the characteristics associated with the category, the character
SeparativeCriterion
- 特征选择与特征提取的任务是求出一组对分类最有效的特征因此需要有定量分析比较的方法，判断所得到的特征维数及所使用特征是否对分类最有利，这种用以定量检验分类性能的准则称为类可分离性判据。 类别可分离性判据，用来检验不同的特征组合对分类性能好坏的影响，并用来导出特征选择与特征提取的方法。 -Feature selection and feature extraction task is to find a set of classification of the most effective
invariantMoment
- invariant moment feature selection of an image, matlab code
Rough-Set-Attribute-Reduction
- 基于粗糙集的特征选择Matlab源程序。-Feature selection based on rough set.
xiangpijin
- 橡皮筋技术带右键菜单功能，实现直线和矩形的橡皮筋技术，并采用右键菜单功能选择-Right-click menu functions with a rubber band technology, to achieve a straight line and rectangle rubber band technology, and feature selection using right-click menu
ga
- 基于遗传算法和距离的特征选择，用于人工智能和模式识别，进行降维-Distance based on genetic algorithms and feature selection for artificial intelligence and pattern recognition, dimensionality reduction
pr_basic_code
- 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 networks, 1_k neighbor method, the clip method, feature selection and feature transformati
fs_sup_fisher_score
- fisher score,用于特征选择的方法-fisher score,a method can be used for feature selection
PCA-and-MatlabCode
- 主成分分析法实现特征选择，里面有非常详细的算法介绍，还有一个现实实例介绍，非常具象，里面贴有实现算法的matlab代码-Principal component analysis （PCA）to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
Gabor_matlab
- Gabor特征提取原理及matlab实现-Gabor filter feature selection and the implement based on matlab
SVMRFE
- svmrfe 特征选择 后向排序 svm 数据挖掘 机器学习-Svmrfe after feature selection to sort SVM data mining machine learning
relief
- relief 特征选择 机器学习 数据挖掘 特征权重-Relief feature selection machine learning data mining feature weights
TextFeatureSelectionAlgorithm
- 在文本挖掘中，文档通常以特征向量的形式表示。为了提高文本挖掘算法的运行速度，降低占用的内存空间，过滤掉不相关或相关程度低的特征，提出一种改进的特征选择算法，该算法对特征进行综合考虑，从而更加准确地选取有效的特征。实验验证了改进算法的可行性和有效性。-In text mining，documents are usually meanwith the form of the eigenvector．In order to enhance the operating speed and red
mi_0.9
- feature selection demo
test
- 引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征，改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
QuickSortOrderReduct
- 引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法-Introduce neighborhood rough set reduction model can deal directly with continuous data, given the feature selection algorithm based on neighborhood rough set model and particle swarm optimization