datareductionwithroughsets

属性约简的matlab代码：实现了基于信息熵、模糊信息熵；这些算法可以同时处理离散变量和数值变量，无须离散化。-Attribute Reduction of matlab code: to achieve based on information entropy, fuzzy information entropy these algorithms can deal with discrete variables and numerical variables without discretization.

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 publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.

AGAandLAGA

两种改进的遗传算法（自适应交叉概率的遗传算法，加入领域竞争策略的遗传算法）相比较的matlab程序，基于UCI的两个数据集，可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures, the UCI based on two data sets, can run the program directly observe the effect.

遗传算法优化支持向量机GASVM

遗传算法优化支持向量机源代码 MATLAB代码

支持向量机多参数自动选择优化asm-svm

支持向量机多参数自动选择优化程序 MALAB源码