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- 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
Two-feature-selection-algorithm
- 对“data4.m”数据，采用两种特征选择算法，选择2个特征。并且进行效果比较-"Data4.m" data, using the two feature selection algorithm, select two characteristics. And the effects comparison
DFSlection
- DF特征选择算法，Java的程序，不是原创的哦！-DF feature selection algorithm, Java, non-original!
feature-selection-svm
- 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
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
ModelBasedFeatureConstruction-1.01
- 基于模型的特征选择算法， 基于模型的特征选择算法， -Model Based Feature Construction
SVM
- 运用支持向量机作为分类器，适用于特征选择算法-Using support vector machine as classifier, feature selection algorithm
Relief_SBS
- 基于Relief_SBS特征选择算法的入侵检测方法研究_杨云峰-Relief_SBS feature selection algorithm based Intrusion Detection Method _ Yun-Feng Yang
Relief
- 利用距离求解的特征选择算法，针对两类问题的Relief算法-feature selection
Relief-feature-selection
- Relief 特征选择算法matlab实现-Relief feature selection
suanfa
- 基于双向匹配法和特征选择算法的中文分词技术研究-Words in technology selection algorithm based on two-way matching and feature Chinese sub
svmrfe1vR
- svmref1VR m file SVM一对多递归特征消除特征选择算法-SVM-RFE 1VR m file
FEAST-v1.1.1
- 特征选择matlab程序, 该程序由多种特征选择算法组成，可根据需要进行选择。-Feature selection matlab program, which composed by a variety of feature selection algorithm can be selected according to need.
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
FeatureSelector
- 三种常用的特征选择算法 卡方特征选择,互信息特征选择,信息增益特征选择(CHI,MI,IG)-Three kinds of commonly used feature selection algorithm, CHI, MI, IG
信号处理经典算法
- 15个信号处理经典算法模型及代码实现,涵盖 Dijkstra.DP.BFS/DFS.红黑树.KMP.遗传.启发式搜索.图像 特征提取 SIFT.傅立叶变换.Hash.快速排序.SPFA.快递选择 SELECT 等 15 个经典基础算法，
Relief
- relief特征选择算法，代码有详细的中文解释，并且有实例验证。-relief algrithm,it include chinese expression and examples
ORDINAL-FEATURE-ANALYSIS
- 本文讨论了故障严重程度识别中的特征评价和特征选择算法。将严重程度识别问题中的特征分为非单调特征和单调特征，分别设计了不同的特征评价指标和特征选择算法，为故障严重程度识别提供了可行的方案。-This article discusses the failure to identify the severity of the feature in the comments and feature selection algorithms. The severity of the problem of
Bpes
- 该程序是基于特征选择与特征提取的检测算法,可以将已分类的数据集中的边界数据检测出来，对于边界数据中的未分类数据及模糊数据具有很好的检测效果。可适用于分类器的构建。
relief
- Relief特征选择算法最初由Kira和Rendell于1992年提出的一种著名的多变量过滤式特征选择算法，它也是一种基于样本学习的特征权重计算算法-Relief is a kind of feature weighting algorithm, which gives different weights according to the relevance of features and categories