Joint cluster analysis of attribute data and relationship data

Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


Entities can be described by two principal types of data: attribute data and relationship data. Attribute data describe intrinsic characteristics of entities whereas relationship data represent extrinsic influences among entities. While attribute data have been the major data source in data analysis, more and more relationship data are becoming available. To name a few, acquaintance and collaboration networks are examples of social networks, and neural and metabolic networks are examples of biological networks. Consequently, network analysis [42, 52, 53] has been gaining popularity in the study of marketing, community identification, epidemiology, molecular biology and so on.

Original languageEnglish
Title of host publicationConstrained Clustering
Subtitle of host publicationAdvances in Algorithms, Theory, and Applications
Number of pages28
ISBN (Electronic)9781584889977
StatePublished - 1 Jan 2008
Externally publishedYes


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