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dc.contributor.authorBae, E
dc.contributor.authorBailey, J
dc.contributor.authorDong, G
dc.contributor.editorSattar, A
dc.contributor.editorKang, BH
dc.date.available2014-05-22T00:16:22Z
dc.date.issued2006-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000244891200038&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationBae, E., Bailey, J. & Dong, G. (2006). Clustering similarity comparison using density profiles. SPRINGER-VERLAG BERLIN. Hobart, AUSTRALIA.
dc.identifier.isbn978-3-540-49787-5
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11343/30072
dc.languageEnglish
dc.publisherSPRINGER-VERLAG BERLIN
dc.source19th Australian Joint Conference on Artificial Intelligence
dc.subjectInformation Systems
dc.titleClustering similarity comparison using density profiles
dc.typeConference Paper
dc.identifier.doi10.1007/11941439-38
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
melbourne.source.volume4304
melbourne.source.pages342-+
dc.research.codefor0806
melbourne.publicationid60563
melbourne.elementsid282762
melbourne.contributor.authorBailey, James
melbourne.contributor.authorBAE, KYOO HAN ERIC
dc.identifier.eissn1611-3349
melbourne.conference.locationHobart, AUSTRALIA
melbourne.accessrightsThis item is currently not available from this repository


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