Performance estimation of machine learning algorithms in the factor analysis of COVID-19 dataset

dc.contributor.author	Dubey, A. K.
dc.contributor.author	Narang, S.
dc.contributor.author	Kumar, A.
dc.contributor.author	Sasubilli, S. M.
dc.contributor.author	García Díaz, Vicente
dc.date.accessioned	2021-06-01T09:39:59Z
dc.date.available	2021-06-01T09:39:59Z
dc.date.issued	2020
dc.identifier.citation	Computers, Materials and Continua, 66(2), p. 1921-1936 (2020); doi:10.32604/cmc.2020.012151
dc.identifier.issn	1546-2218
dc.identifier.uri	http://hdl.handle.net/10651/58509
dc.format.extent	p. 1921-1936
dc.language.iso	eng
dc.relation.ispartof	Computers, Materials and Continua
dc.rights	© 2020 los autores
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097144888&doi=10.32604%2fcmc.2020.012151&partnerID=40&md5=0b16499c45f1a11d573777a498c1e229
dc.title	Performance estimation of machine learning algorithms in the factor analysis of COVID-19 dataset
dc.type	journal article
dc.identifier.doi	10.32604/cmc.2020.012151
dc.relation.publisherversion	http://dx.doi.org/10.32604/cmc.2020.012151
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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