Logo
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/6493
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorChowdhury, Nirmalaya-
dc.contributor.authorNandi, Priyanka-
dc.date.accessioned2024-11-26T08:05:28Z-
dc.date.available2024-11-26T08:05:28Z-
dc.date.issued2019-
dc.date.submitted2019-
dc.identifier.otherDC4540-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/6493-
dc.format.extent97p.en_US
dc.language.isoenen_US
dc.publisherJadavpur university, Kolkata, West Bengalen_US
dc.subjectK-means Algorithmen_US
dc.subjectPartitional clusteringen_US
dc.subjectClustering techniquesen_US
dc.subjectPattern recognitionen_US
dc.titleTo study the efficiency of K-means algorithm for partitional clusteringen_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Computer Science & Engineeringen_US
Appears in Collections:Dissertations

Files in This Item:
File Description SizeFormat 
M. Tech (Computer Science & Engineering) Priyanka Nandi.pdf1.39 MBAdobe PDFView/Open


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.