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dc.contributor.authorWANG, L.en_US
dc.contributor.authorBEZDEK, J.en_US
dc.contributor.authorLECKIE, C.en_US
dc.contributor.authorKOTAGIRI, R.en_US
dc.date.accessioned2014-05-21T22:51:15Z
dc.date.available2014-05-21T22:51:15Z
dc.date.issued2008en_US
dc.identifier.issn0884-8173en_US
dc.identifier.urihttp://hdl.handle.net/11343/29296
dc.languageengen_US
dc.subjectArtificial Intelligence and Image Processingen_US
dc.titleSelective Sampling for Approximate Clustering of Very Large Data Setsen_US
dc.typeJournal Articleen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentComputer Science and Software Engineeringen_US
melbourne.source.titleInternational Journal of Intelligent Systemsen_US
melbourne.source.volume23en_US
melbourne.source.issue3en_US
melbourne.source.pages313-331en_US
dc.research.codefor801en_US
dc.description.pagestart313en_US
melbourne.publicationid104546en_US
melbourne.elementsidNA
melbourne.contributor.authorBezdek, James
melbourne.contributor.authorKotagiri, Ramamohanarao
melbourne.contributor.authorLeckie, Christopher
melbourne.contributor.authorWANG, LIANG
melbourne.accessrightsThis item is currently not available from this repository


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