Show simple item record

dc.contributor.authorS. Y. LAM, Bensonen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorK. Smith, Daviden_US
dc.contributor.authorYan, Hongen_US
dc.date.accessioned2017-04-24T12:52:41Z
dc.date.available2017-04-24T12:52:41Z
dc.date.issued2008en_US
dc.date.modified2010-08-30T07:02:37Z
dc.identifier.issn19398018en_US
dc.identifier.doi10.1007/s11265-007-0119-9en_AU
dc.identifier.urihttp://hdl.handle.net/10072/21591
dc.description.abstractMicroarray data clustering has drawn great attention in recent years. However, a major problem in data clustering is convergence to a local optimal solution. In this paper, we introduce a regularized version of the l2m-FCM algorithm to resolve this problem. The strategy is to constrain the descent direction in the optimization procedure. For this we employ a novel method, calculus of variations, to correct the direction. Experimental results show that the proposed method has a better performance than seven other clustering algorithms for three synthetic and six real world data sets. Also, the proposed method produces reliable results for synthetic data sets with a large number of groups, which is a challenging problem for many clustering algorithms. Our method has been applied to microarray data classification with good results.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent291755 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer New Yorken_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom281en_US
dc.relation.ispartofpageto292en_US
dc.relation.ispartofjournalJournal of Signal Processing Systemsen_US
dc.relation.ispartofvolume50en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.titleA Regularized Clustering Algorithm Based on Calculus of Variationsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2008 Springer. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.comen_AU
gro.date.issued2008
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record