利用Java实现的K-均值算法，K-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu

本程序是一个用java语言开发的apriori算法的源代码，该算法主要用于数据挖掘。-This procedure is developed using java language apriori algorithm source code, the algorithm is mainly used for data mining.

Implement FP-Growth algorithm of Assosiation Rule Data Mining using Java

Mining the E-commerce Data to Analyze the Target Customer Behavior is developed in Java. It clusters customer segments by using K-Means algorithm and data from web log of various e-commerce websites. Consequently, the results showed that there was a

基于将数据挖掘与并行技术结合,学习数据挖掘中关联规则算法，用java编写出最高效的apriori改进算法，用ubuntu上的eclipse作为开发平台，通过在eclipse上安装hadoop插件的方法建立并行平台。-Based on the data mining combined with parallel technology, learning algorithms in data mining association rules, using Java to write out the