摘要
针对高维空间数据,提出一种基于超图模式的数据聚类方法,即把给定的高维空间中的原始数据映射到一个带权超图中,再对超图应用算法对顶点进行划分,从而得到相应数据项的聚类。
A method of clustering based on hypergraph models is given. The method model maps the relationship presenting in the original data in high dimensional space into a hypergraph. Then, an algorithm is applied into the hypergraph to get a partitioning of the vertices so that we can get the clustering of the corresponding data items.
出处
《石家庄铁路职业技术学院学报》
2005年第4期67-71,共5页
Journal of Shijiazhuang Institute of Railway Technology
关键词
数据挖掘
数据聚类
超图
自底向上
data mining clustering hypergraph bottom-up-to-top