摘要
数据挖掘是数据库研究、开发和应用领域最活跃的分支之一。在数据挖掘的众多技术中聚类分析已成为核心技术。本文通过对聚类分析及其算法的论述,从多个方面对这些算法性能进行比较,同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K-Means算法来进一步阐述聚类分析在数据挖掘中的实践应用。
Data mining is one of the most active branches of the reseach , development and application of the database. Cluster＇s analysis has already become key technology in the numerous technologies that the data mining. This paper passes cluster＇ s analysis and argumentation of the algorithm correctly, compare these algorithm performances from a lot of respects, and explain that cluster analysis excavates the practice application of in datum further to come through software and improved K-Means algorithm, cluster of analysis at the same time Practise application.
出处
《信息技术与信息化》
2005年第6期84-87,共4页
Information Technology and Informatization
关键词
数据挖掘
聚类分析
数据库
聚类算法
Data mining Cluster analysis Database, Cluster algorithm
