On subspace clustering with density consciousness

Yi Hong Chu, Jen Wei Huang, Kun Ta Chuang, Ming Syan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a problem, called "the density divergence problem" is explored. This problem is related to the phenomenon that the densities of the clusters vary in different subspace cardinalities. We take the densities into consideration in subspace clustering and explore an algorithm to adaptively determine different density thresholds to discover clusters in different subspace cardinalities.

Original languageEnglish
Title of host publicationProceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006
Pages804-805
Number of pages2
DOIs
Publication statusPublished - 2006
Event15th ACM Conference on Information and Knowledge Management, CIKM 2006 - Arlington, VA, United States
Duration: 2006 Nov 62006 Nov 11

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other15th ACM Conference on Information and Knowledge Management, CIKM 2006
Country/TerritoryUnited States
CityArlington, VA
Period06-11-0606-11-11

All Science Journal Classification (ASJC) codes

  • General Business,Management and Accounting

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