Novel Variants of Nature Inspired Algorithms for Clustering High Dimensional Data

dc.contributor.guide	Mehta, Shikha
dc.coverage.spatial
dc.creator.researcher	Agarwal, Parul
dc.date.accessioned	2019-07-15T08:35:31Z
dc.date.available	2019-07-15T08:35:31Z
dc.date.awarded	20/06/2019
dc.date.completed	20/06/2019
dc.date.registered	31/01/2014
dc.description.abstract	included newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/250511
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering and Information Technology
dc.publisher.place	Noida
dc.publisher.university	Jaypee Institute of Information Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	algorithm
dc.subject.keyword	Clustering
dc.subject.keyword	curse of dimensionality
dc.subject.keyword	data mining techniques
dc.subject.keyword	dimensions
dc.subject.keyword	Engineering and Technology,Computer Science,Computer Science Interdisciplinary Applications
dc.subject.keyword	high dimensional clustering
dc.subject.keyword	K-Means algorithm
dc.subject.keyword	science and engineering
dc.title	Novel Variants of Nature Inspired Algorithms for Clustering High Dimensional Data
dc.title.alternative
dc.type.degree	Ph.D.