Multi-level clustering and reasoning about its clusters using region connection calculus

Lee, I; Williams, MA

Multi-level clustering and reasoning about its clusters using region connection calculus

Lee, I Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2003, 2637 pp. 283 - 294
Issue Date:: 2003-01-01

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Field	Value	Language
dc.contributor.author	Lee, I	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2003-01-01	en_US
dc.identifier.citation	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2003, 2637 pp. 283 - 294	en_US
dc.identifier.isbn	3540047603	en_US
dc.identifier.isbn	9783540047605	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1978
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 2003. Spatial clustering provides answers for "where?" and "when?" and evokes "why?" for further explorations. In this paper, we propose a divisive multi-level clustering method that requires O(nlog n) time. It reveals a cluster hierarchy for the "where?" and "when?" queries. Experimental results demonstrate that it identifies quality multi-level clusters. In addition, we present a solid framework for reasoning about multi-level clusters using Region Connection Calculus for the "why?" query. In this framework, we can derive their possible causes and positive associations between them with ease.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0209539
dc.relation.ispartof	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Multi-level clustering and reasoning about its clusters using region connection calculus	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2637	en_US
utslib.for	0804 Data Format	en_US
dc.location.activity	Seoul, Korea	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2637	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 2003. Spatial clustering provides answers for "where?" and "when?" and evokes "why?" for further explorations. In this paper, we propose a divisive multi-level clustering method that requires O(nlog n) time. It reveals a cluster hierarchy for the "where?" and "when?" queries. Experimental results demonstrate that it identifies quality multi-level clusters. In addition, we present a solid framework for reasoning about multi-level clusters using Region Connection Calculus for the "why?" query. In this framework, we can derive their possible causes and positive associations between them with ease.

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http://hdl.handle.net/10453/1978