Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/314817
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dc.coverage.spatial
dc.date.accessioned2021-02-11T11:13:30Z-
dc.date.available2021-02-11T11:13:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/314817-
dc.description.abstractData analysis contains several techniques and tools for handling the data. These newlinetechniques or algorithms play a notable role to assist the decision makers in making newlinepredictions that impact people and enterprises. Clustering or Classification is the core newlinemethod of data analysis. Clustering is an unsupervised multivariate analysis technique to newlinepartition or categorize the dataset into groups (classes or clusters) in a dataset such that the newlinemost indiscernible objects belong to the same group while the discernible objects in different newlinegroups. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleK means algorithm with a covariance matrix compared to partition based clustering algorithms
dc.title.alternative
dc.creator.researcherSimhachalam, Boddana
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideHymavathi, T.
dc.publisher.placeRajahmundry
dc.publisher.universityAdikavi Nannaya University, Rajahmundry
dc.publisher.institutionDepartment of Mathematics
dc.date.registered2011
dc.date.completed2018
dc.date.awarded2018
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics

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certificate-bsm.pdf100.99 kBAdobe PDFView/Open
chapter-i-bsm.pdf429 kBAdobe PDFView/Open
chapter-ii-bsm.pdf233.02 kBAdobe PDFView/Open
chapter-iii-bsm.pdf753.4 kBAdobe PDFView/Open
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chapter-vi-bsm.pdf1.18 MBAdobe PDFView/Open
chapter-vii-bsm.pdf798.55 kBAdobe PDFView/Open
preliminary pages-bsm.pdf113.47 kBAdobe PDFView/Open
title-bsm.pdf6.41 MBAdobe PDFView/Open


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