dc.contributor.author | Wang, L | |
dc.contributor.author | Geng, X | |
dc.contributor.author | Bezdek, J | |
dc.contributor.author | Leckie, C | |
dc.contributor.author | Ramamohanarao, K | |
dc.date.available | 2014-05-21T22:49:19Z | |
dc.date.issued | 2010-10-01 | |
dc.identifier | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281000500005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c | |
dc.identifier.citation | Wang, L., Geng, X., Bezdek, J., Leckie, C. & Ramamohanarao, K. (2010). Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 22 (10), pp.1401-1414. https://doi.org/10.1109/TKDE.2009.192. | |
dc.identifier.issn | 1041-4347 | |
dc.identifier.uri | http://hdl.handle.net/11343/29276 | |
dc.language | English | |
dc.publisher | IEEE COMPUTER SOC | |
dc.subject | Artificial Intelligence and Image Processing | |
dc.title | Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning | |
dc.type | Journal Article | |
dc.identifier.doi | 10.1109/TKDE.2009.192 | |
melbourne.peerreview | Peer Reviewed | |
melbourne.affiliation | The University of Melbourne | |
melbourne.affiliation.department | Computer Science and Software Engineering | |
melbourne.source.title | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | |
melbourne.source.volume | 22 | |
melbourne.source.issue | 10 | |
melbourne.source.pages | 1401-1414 | |
dc.description.pagestart | 1401 | |
melbourne.publicationid | 146979 | |
melbourne.elementsid | 324056 | |
melbourne.contributor.author | Bezdek, James | |
melbourne.contributor.author | Leckie, Christopher | |
melbourne.contributor.author | Kotagiri, Ramamohanarao | |
melbourne.internal.ingestnote | Abstract bulk upload (2017-07-20) | |
dc.identifier.eissn | 1558-2191 | |
melbourne.accessrights | This item is currently not available from this repository | |