数据挖掘中聚类方法比较研究

数据挖掘是近年来信息产业界非常热门的研究方向,聚类分析是数据挖掘中的核心技术。聚类算法已被广泛深入地研究,其间产生了许多不同的适用于数据挖掘的聚类算法,但这些算法仅适用于特定的问题及用户。为了更好地使用这些算法,文中对数据挖掘领域的聚类分析方法及代表算法进行了分析,提出了数据挖掘对聚类的典型要求,并基于这些要求对数据挖掘中常用的聚类算法作了比较,以便于人们更容易、更快速地选择一种适用于具体问题的聚类算法。

Comparison of Clustering Methods in Data Mining

Data mining is one of pop research in information industry last few years.Clustering analysis is the core technique of data mining.Clustering method has been studied very deeply.During the time occurred many different clustering methods that suit data mining,but these methods are only suited special problems and users.In order to use these methods better,analysis the clustering methods and representative clustering algorithm,put forward the typical requests of clustering and compared the common clustering algorithm,so that people can easily find a clustering method that suit a special problem.