用java编写的基于小生境的遗传算法，NASG

利用遗传算法进行文本聚类的特征选择.把一种特征组合看作一个染色体，对其进行二进制编码，引入文本集密度作为适应度函数进行特征个体适应度的评价. -The use of genetic algorithm feature selection in text clustering. To a combination of characteristics as a chromosome, its binary code, the introduction of text set density as a characteristic of fitness function for evaluation of individual fitness.

fisher c算法-fisher c algorithm

卡尔曼滤波模拟器

文本分类算法很多，神经网络算法遗传算法可以用，本算法采用支持向量机SVM来实现-Text Classification Algorithm

数据挖掘各类代码:Apriori源代码全部-Various types of data mining code: Apriori all source code

改进的遗传算法，有兴趣的可以下-Improved genetic algorithms, are interested in can be done next

PSO (粒子群优法)简单的范例程式 可以提供初学者使用-PSO (PSO You) simple programming model can provide beginners

SVM的一个源程序，功能很强大，实现的结构很巧妙-SVM as a source, function is very powerful and realize the structure is a clever

k-means算法(matlab编写),其中包含测试数据集,可以使用.-This is a k-means algorithm(in matlab) contains data set which can be used

FastICA算法,使用matlab语言,是非常好的独立成分分析工具.-Fast algorithm, using Matlab language, is a very good independent component analysis tools.