搜索资源列表
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
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
Image-classification
- 一篇图像分类文章Image classification based on feature selection and SVMs-Image classification based on feature selection and SVMs
Fitting_with_MATLAB_1_
- 检查/剪裁的例子 孤立点检测实例 正交回归的例子 单因数变异数(泊松回归/逻辑回归)的例子 鲁棒回归的例子 特征选择的例子 常见的边坡问题的例子 -Censoring/clipping example Outlier detection example Orthogonal regression example GLM (Poisson regression/logistic regression) example Robust regress
MC
- 用于特征选择，尤其是在基因微阵列数据中，利用随机思想-feature selection
termpaper
- Feature Selection in Mobile Ad-hoc Network Intrusion Detection System
SFG
- 基于信息熵计算属性的信息增益，最终得到约简后的属性集，实现特征选择-Feature Selection based on information entropy gain, then the reduct of attributes are obtained.
RBF_OLS
- 利用RBF神经网络通过剪枝算法实现特征选择，训练时采用正交最小二乘方法-RBF feature selection algorithm with gradient decending method
ACO
- aco-ga for feature selection
pso_featsel2
- 这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。-this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration