K means algorithm with a covariance matrix compared to partition based clustering algorithms

dc.contributor.guideHymavathi, T.
dc.coverage.spatial
dc.creator.researcherSimhachalam, Boddana
dc.date.accessioned2021-02-11T11:13:30Z
dc.date.available2021-02-11T11:13:30Z
dc.date.awarded2018
dc.date.completed2018
dc.date.registered2011
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.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/314817
dc.languageEnglish
dc.publisher.institutionDepartment of Mathematics
dc.publisher.placeRajahmundry
dc.publisher.universityAdikavi Nannaya University, Rajahmundry
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.subject.keywordPhysical Sciences
dc.titleK means algorithm with a covariance matrix compared to partition based clustering algorithms
dc.title.alternative
dc.type.degreePh.D.

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