Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/446868
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dc.coverage.spatial
dc.date.accessioned2023-01-16T04:51:35Z-
dc.date.available2023-01-16T04:51:35Z-
dc.identifier.urihttp://hdl.handle.net/10603/446868-
dc.description.abstractnewline
dc.format.extentxvii, 154 pages
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEnhancement of Boosted SVM PSO K Means Laplacian and Expectation Maximization Gaussian Mixture Model Algorithms to Improve the Classification or Clustering Performance
dc.title.alternative
dc.creator.researcherR., Sundar
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Manufacturing
dc.description.note
dc.contributor.guideM., Punniyamoorthy
dc.publisher.placeTiruchirappalli
dc.publisher.universityNational Institute of Technology Tiruchirappalli
dc.publisher.institutionDepartment of Production Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Production Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File103.17 kBAdobe PDFView/Open
02_prelim.pdf159.86 kBAdobe PDFView/Open
03_content.pdf145.5 kBAdobe PDFView/Open
04_abstract.pdf135.43 kBAdobe PDFView/Open
05_chapter 1.pdf132.8 kBAdobe PDFView/Open
06_chapter 2.pdf308.88 kBAdobe PDFView/Open
07_chapter 3.pdf569.66 kBAdobe PDFView/Open
08_chapter 4.pdf651.69 kBAdobe PDFView/Open
09_chapter 5.pdf2.62 MBAdobe PDFView/Open
10_chapter 6.pdf621.22 kBAdobe PDFView/Open
11_chapter 7.pdf110.06 kBAdobe PDFView/Open
12_appendices.pdf696.14 kBAdobe PDFView/Open
13_annexures.pdf226.22 kBAdobe PDFView/Open
80_recommendation.pdf211.85 kBAdobe PDFView/Open


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