基于属性—链接的聚类算法综述

被引:2
作者
王立敏
高学东
武森
机构
[1] 北京科技大学经济管理学院
关键词
属性—链接聚类; 链接结构; 聚类算法;
D O I
暂无
中图分类号
TP301.6 [算法理论];
学科分类号
081202 ;
摘要
首先总结了链接挖掘中基于属性—链接聚类算法的研究现状;然后把它大体分为三类,对每一类中具有代表性的算法进行了详细介绍、分析和评价;最后指出了该领域进一步的研究方向。
引用
收藏
页码:1622 / 1625+1629 +1629
页数:5
相关论文
共 20 条
[1]  
Community structure in social and bio-logical network. GIRVAN M,NEWMANME J. Proc of National Academy of Science . 2002
[2]  
Maximumlikelihood fromin-complete data via the EMalgorithm. DEMPSTER AP,LAIRD NM,RUBIND B. Journal of the Royal Statisti-cal Society:Series B(Methodological) . 1997
[3]  
Probabilistic clustering in rela-tional data. TASKAR B,SEGAL E,KOLLER D. Proc of the 17th International Joint Conference onArtificial Intelligence . 2001
[4]  
Stochastic link andgroup detection. KUBICA J,MOORE A,SCHNEIDER J,et al. Proc of the 18th National Conference on Artifi-cal Intelligence . 2002
[5]  
Normalized cuts and image segmentation. SHI Jian-bo,MALIK J. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2000
[6]  
Spectral relaxation modelsand structure analysis fork-way graph clustering and bi-clustering. GUMing,ZHA Hong-yuan,DING C,et al. Technical Report CSE-01-007 . 2001
[7]  
Automatic topicidentification using webpages clustering. HE Xiao-feng,DING C HQ,ZHA Hong-yuan,et al. Proc of IEEE Int’lConf on Data Mining . 2001
[8]  
Data mining:concepts and techniques. HAN Jia-wei,,KAMBER M. . 2005
[9]  
Link mining:a new data mining challenge. GETOOR L. Proc ofACMSIGKDD Explorations . 2003
[10]  
Clustering relational data using at-tribute and link information. NEVILLE J,ADLER M,JENSEND. Proc of the 18th International JointConference on Artificial Intelligence,Text Mining and Link AnalysisWorkshop . 2003