摘要
多阶段等密度线算法是在基于网格的等密度线聚类算法的基础之上,采用多阶段的聚类方式来解决分布密度变化较大的数据集的聚类分析问题.该算法能够找出分布密度不同的各种类别,并能很快地处理高维数据集.此外,还能有效地对时间序列数据集进行聚类.
The datasets for clustering usually contain clusters of various densities. Few clustering algorithms can handle such kind of datasets. Our algorithm strives to solve the problem in a multi-stage manner. It can discover clusters of different densities effectively. Besides, it can handle high-dimensional datasets and can cluster time-series datasets as well.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2003年第2期42-47,共6页
Journal of Beijing University of Posts and Telecommunications
基金
国创科技公司资助项目