Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/192906
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dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2018-02-23T10:55:16Z-
dc.date.available2018-02-23T10:55:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/192906-
dc.description.abstractAbstract available newline newline
dc.format.extentvi, 201p.
dc.languageEnglish
dc.relationNo. of references 114
dc.rightsuniversity
dc.titlePartitional and probabilistic clustering algorithms for multi_dimensional data
dc.title.alternative-
dc.creator.researcherPunithavalli, M
dc.subject.keywordAlgorithm
dc.subject.keywordClustering
dc.subject.keywordComputer science
dc.subject.keywordData mining
dc.subject.keywordHistogram
dc.subject.keywordSIDC
dc.subject.keywordTaxonomy
dc.description.noteBibliography p. 189-199
dc.contributor.guideRamaraj, E
dc.publisher.placeKaraikudi
dc.publisher.universityAlagappa University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2006
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File22.89 kBAdobe PDFView/Open
02_declaration.pdf173.68 kBAdobe PDFView/Open
03_certificate.pdf25.01 kBAdobe PDFView/Open
04_acknowledgement.pdf62.7 kBAdobe PDFView/Open
05_abstract.pdf133.24 kBAdobe PDFView/Open
06_contents.pdf83.16 kBAdobe PDFView/Open
07_list of tables.pdf36.71 kBAdobe PDFView/Open
08_list of figures.pdf80.73 kBAdobe PDFView/Open
09_chapter 1.pdf713.55 kBAdobe PDFView/Open
10_chapter 2.pdf1.07 MBAdobe PDFView/Open
11_chapter 3.pdf673.12 kBAdobe PDFView/Open
12_chapter 4.pdf3.72 MBAdobe PDFView/Open
13_chapter 5.pdf7.61 MBAdobe PDFView/Open
14_chapter 6.pdf3.05 MBAdobe PDFView/Open
15_chapter 7.pdf207.26 kBAdobe PDFView/Open
16_chapter 8.pdf198.23 kBAdobe PDFView/Open
17_references.pdf467.02 kBAdobe PDFView/Open
18_list of publications.pdf69.51 kBAdobe PDFView/Open


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