Efficient and Effective Visual Techniques for Cluster Tendency Analysis of Large Volumes of High Demensional Data

dc.contributor.guide	Ram Naresh Yadav B V
dc.coverage.spatial
dc.creator.researcher	Chinnaiah Veluru
dc.date.accessioned	2025-01-13T08:17:08Z
dc.date.available	2025-01-13T08:17:08Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2007
dc.description.abstract	Attached newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	124pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/614535
dc.language	English
dc.publisher.institution	Faculty of Computer Science and Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Cluster Tendencey
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Effective Visual
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	High Dimensional Data
dc.title	Efficient and Effective Visual Techniques for Cluster Tendency Analysis of Large Volumes of High Demensional Data
dc.title.alternative
dc.type.degree	Ph.D.