1. Shodhganga@INFLIBNET
  2. Dr. M.G.R. Educational and Research Institute
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/118803
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2016-10-26T04:34:14Z-
dc.date.available2016-10-26T04:34:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/118803-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHybrid Inherent Voting Ensemble Fusion for Spatial Clusters
dc.title.alternative
dc.creator.researcherR J ANANDHI
dc.subject.keywordClustering ensembles, Spatial Data Mining, Degree of Agreement, Cluster Compatibility matrix. Cluster validity metrics
dc.description.note
dc.contributor.guideDr Natarajan Subramanyam
dc.publisher.placeChennai
dc.publisher.universityDr. M.G.R. Educational and Research Institute
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered20/11/2006
dc.date.completed24/01/2011
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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thesis.pdf2.46 MBAdobe PDFView/Open
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