摘要
聚类算法是数据挖掘中用来发现数据分布和隐含模式的一项重要技术。通过分析研究数据仓库及数据挖掘中聚类算法的现状,对数据挖掘中常见的几种聚类算法的性能进行相互比较,并分析它们各自的优缺点,对数据挖掘中聚类算法的发展趋势作出展望。
Clustering algorithm is an important technique in Data Mining（DM） for the discovery of data distribution and latent data pattern. Through analysis of the data warehouse and data mining the clustering algorithm,the present situation of data mining in several common clustering algorithm of performance is compared each other,and analyzes on the advantages and disadvantages of each,in data mining is the development trend of the clustering algorithm is presented.
出处
《中国教育技术装备》
2011年第27期84-84,87,共2页
China Educational Technology & Equipment
关键词
数据仓库
数据挖掘
聚类算法
data warehouse
data mining
clustering algorithm
