Factor analysis approach to classify COVID-19 datasets in several regions

dc.contributor.author	Mahmoudi, Mohammad Reza
dc.contributor.author	Baleanu, Dumitru
dc.contributor.author	Band, Shahab S.
dc.contributor.author	Mosavi, Amir
dc.date.accessioned	2022-04-22T12:51:11Z
dc.date.available	2022-04-22T12:51:11Z
dc.date.issued	2021-06
dc.identifier.citation	Mahmoudi, Mohammad Reza...et al. (2021). "Factor analysis approach to classify COVID-19 datasets in several regions", Results in Physics, Vol. 25.	tr_TR
dc.identifier.issn	2211-3797
dc.identifier.uri	http://hdl.handle.net/20.500.12416/5436
dc.description.abstract	The aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson's correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships. © 2021 The Authors	tr_TR
dc.language.iso	eng	tr_TR
dc.relation.isversionof	10.1016/j.rinp.2021.104071	tr_TR
dc.rights	info:eu-repo/semantics/openAccess	tr_TR
dc.subject	Coronaviruses	tr_TR
dc.subject	Correlation	tr_TR
dc.subject	Covid-19	tr_TR
dc.subject	Factor Analysis	tr_TR
dc.title	Factor analysis approach to classify COVID-19 datasets in several regions	tr_TR
dc.type	article	tr_TR
dc.relation.journal	Results in Physics	tr_TR
dc.contributor.authorID	56389	tr_TR
dc.identifier.volume	25	tr_TR
dc.contributor.department	Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü	tr_TR

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