An ensemble solution for multivariate time series clustering

dc.contributor.author	Vázquez, I.
dc.contributor.author	Villar Flecha, José Ramón
dc.contributor.author	Sedano, J.
dc.contributor.author	Simic, S.
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.date.accessioned	2021-11-18T12:24:29Z
dc.date.available	2021-11-18T12:24:29Z
dc.date.issued	2021
dc.identifier.citation	Neurocomputing, 457, p. 182-192 (2021); doi:10.1016/j.neucom.2020.09.093
dc.identifier.issn	0925-2312
dc.identifier.uri	http://hdl.handle.net/10651/61195
dc.description.sponsorship	This research has been funded by the Spanish Ministry of Science and Innovation, under project MINECO-TIN2017-84804-R, and by the Grant FC-GRUPIN-IDI/2018/000226 project from the Asturias Regional Government. Also, the research has been funded by project CCTT2/18/BU/0002 from the Instituto para la Competitividad Empresarial de Castilla y León.
dc.format.extent	p. 182-192
dc.language.iso	eng
dc.relation.ispartof	Neurocomputing
dc.rights	© 2021 Elsevier
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108958779&doi=10.1016%2fj.neucom.2020.09.093&partnerID=40&md5=67a8b3399275241539d916ca471426d4
dc.title	An ensemble solution for multivariate time series clustering
dc.type	journal article
dc.identifier.doi	10.1016/j.neucom.2020.09.093
dc.relation.projectID	MINECO-TIN2017-84804-R
dc.relation.projectID	FC-GRUPIN-IDI/2018/000226
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.neucom.2020.09.093
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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