Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/186414
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2018-01-08T05:46:58Z-
dc.date.available2018-01-08T05:46:58Z-
dc.identifier.urihttp://hdl.handle.net/10603/186414-
dc.description.abstractnewline
dc.format.extentxviii, 230p.
dc.languageEnglish
dc.relation123 references
dc.rightsuniversity
dc.titleEffective clustering methods in analyzing complex real world datasets
dc.title.alternative
dc.creator.researcherDevi, R
dc.subject.keywordCancer database
dc.subject.keywordDatasets
dc.subject.keywordFuzzy Clustering
dc.subject.keywordMedical Images
dc.subject.keywordSegmenting Medical Images
dc.description.noteBibliography and Appendix included
dc.contributor.guideKannan, S.R
dc.publisher.placeDindigul
dc.publisher.universityThe Gandhigram Rural Institute
dc.publisher.institutionDepartment of Mathematics
dc.date.registeredMay 2013
dc.date.completed2013
dc.date.awardedMay 2013
dc.format.dimensions35 cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File67.6 kBAdobe PDFView/Open
02_certificate.pdf66.81 kBAdobe PDFView/Open
03_declaration.pdf58.56 kBAdobe PDFView/Open
04_acknowledgement.pdf70.66 kBAdobe PDFView/Open
05_contents.pdf146.68 kBAdobe PDFView/Open
06_list of abbreviations.pdf59.29 kBAdobe PDFView/Open
07_list of tables.pdf86.99 kBAdobe PDFView/Open
08_list of figures.pdf176.26 kBAdobe PDFView/Open
09_abstract.pdf51.95 kBAdobe PDFView/Open
10_chapter 1.pdf410.14 kBAdobe PDFView/Open
11_chapter 2.pdf751.06 kBAdobe PDFView/Open
12_chapter 3.pdf2.28 MBAdobe PDFView/Open
13_chapter 4.pdf1.99 MBAdobe PDFView/Open
14_chapter 5.pdf2.45 MBAdobe PDFView/Open
15_chapter 6.pdf85.5 kBAdobe PDFView/Open
16_bibliography.pdf174.66 kBAdobe PDFView/Open
17_appendices.pdf176.5 kBAdobe PDFView/Open


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