Efficient global clustering using the greedy elimination method

dc.contributor.authorChan, Z.
dc.contributor.authorKasabov, N
dc.date.accessioned2009-05-27T22:18:55Z
dc.date.available2009-05-27T22:18:55Z
dc.date.copyright2004
dc.date.created2004
dc.date.issued2004
dc.description.abstractA novel global clustering method called the greedy elimination method is presented. Experiments show that the proposed method scores significantly lower clustering errors than the standard K-means over two benchmark and two application datasets, and it is efficient for handling large datasets.
dc.identifier.doi10.1049/el:20046785
dc.identifier.urihttps://hdl.handle.net/10292/613
dc.publisherIEEE
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.rights.accessrightsOpenAccess
dc.sourceElectronics Letters, 40, 25, 1611-1612
dc.titleEfficient global clustering using the greedy elimination method
dc.typeJournal Article
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