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dc.contributor.authorBae, E
dc.contributor.authorBailey, J
dc.contributor.authorDong, G
dc.date.available2014-05-22T02:11:43Z
dc.date.issued2010-11-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281039800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationBae, E., Bailey, J. & Dong, G. (2010). A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings. DATA MINING AND KNOWLEDGE DISCOVERY, 21 (3), pp.427-471. https://doi.org/10.1007/s10618-009-0164-z.
dc.identifier.issn1384-5810
dc.identifier.urihttp://hdl.handle.net/11343/30964
dc.languageEnglish
dc.publisherSPRINGER
dc.subjectArtificial Intelligence and Image Processing; Information Systems
dc.titleA clustering comparison measure using density profiles and its application to the discovery of alternate clusterings
dc.typeJournal Article
dc.identifier.doi10.1007/s10618-009-0164-z
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleDATA MINING AND KNOWLEDGE DISCOVERY
melbourne.source.volume21
melbourne.source.issue3
melbourne.source.pages427-471
dc.research.codefor0806
dc.research.codefor0801
dc.description.pagestart427
melbourne.publicationid146975
melbourne.elementsid324052
melbourne.contributor.authorBailey, James
melbourne.contributor.authorBAE, ERIC
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-24)
dc.identifier.eissn1573-756X
melbourne.accessrightsThis item is currently not available from this repository


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