Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/5259
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBandyopadhyay, Sanghamitra-
dc.contributor.authorSaha, S-
dc.date.accessioned2013-02-25T10:10:59Z-
dc.date.available2013-02-25T10:10:59Z-
dc.date.issued2008-
dc.identifier.citationIEEE Transactions on Knowledge and Data Engineering, v. 20, no. 11, p. 1441-1457en_US
dc.identifier.urihttp://hdl.handle.net/10263/5259-
dc.language.isoenen_US
dc.subjectPoint symmetryen_US
dc.subjectBased clustering techniqueen_US
dc.subjectAutomatic evolution of clustersen_US
dc.titleA Point symmetry based clustering technique for automatic evolution of clustersen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
ITOKADE-20- 11-2008-p 1441-1457.pdf1.12 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.