数据挖掘中的关联规则发现算法

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

基于SVM，分本分类，，是关于两类分类的比较好的工具，国外网站提供，效果很好的-based SVM, the sub-classification is on the classification of the two types of relatively good tool, overseas sites provide good results, the

K-Means动态聚类算法源程序 使用K-Means实现数据挖掘中的聚类算法-Dynamic K-Means clustering algorithm source realize the use of K-Means clustering data mining algorithm

八数码问题用A*算法实现 VC++6.0实现的八数码问题-eightnum

国外网站上的svm源码，希望对大家有帮助-abroad on the website svm source, and I hope to be helpful

SPEA2源码，效果相当好 ZIZTLER系列复杂函数只有第三个效果不太好-SPEA2 source, the effect ZIZTLER very good series of complex functions, only the third effect is not a good

用VC++编写的基本遗传算法的源程序，而且有中文解释，适于初学者。-GA

使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.

JAVA版的蚂蚁算法(Ant Colony Optimization Algorithms) -JAVA version of the ant algorithm (Ant Colony Optimization Algorithms)

黑白棋子的算法程序实现详细步骤及实现过程-reversi son algorithm program and detailed steps for achieving