Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/180984
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dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2017-11-16T05:03:30Z-
dc.date.available2017-11-16T05:03:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/180984-
dc.description.abstractAbstract available
dc.format.extentxvii, 116p.
dc.languageEnglish US
dc.relation106-115
dc.rightsuniversity
dc.titleA cluster ensemble approach using self tuning spectral clustering for distributed data
dc.title.alternative
dc.creator.researcherS, Mohanavalli
dc.subject.keywordAlgorithms
dc.subject.keywordAutomatic
dc.subject.keywordCluster
dc.subject.keywordEnsemble
dc.subject.keywordOrganization
dc.description.noteData not available
dc.contributor.guideAravindan, C
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions31cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File40.99 kBAdobe PDFView/Open
02_certificate.pdf503.43 kBAdobe PDFView/Open
03_abstract.pdf109.1 kBAdobe PDFView/Open
04_acknowledgement.pdf42.52 kBAdobe PDFView/Open
05_table of content.pdf367.76 kBAdobe PDFView/Open
06_list of symbols and abbreviations.pdf103.93 kBAdobe PDFView/Open
07_chapter 1.pdf1.13 MBAdobe PDFView/Open
08_chapter 2.pdf3.2 MBAdobe PDFView/Open
09_chapter 3.pdf2.97 MBAdobe PDFView/Open
10_chapter 4.pdf1.28 MBAdobe PDFView/Open
11_chapter 5.pdf1.75 MBAdobe PDFView/Open
12_experimental results and discussions.pdf5.6 MBAdobe PDFView/Open
13_conclusion.pdf743.73 kBAdobe PDFView/Open
14_references.pdf1.23 MBAdobe PDFView/Open
15_list of publication.pdf138.97 kBAdobe PDFView/Open


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