Hybrid Inherent Voting Ensemble Fusion for Spatial Clusters

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

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