A fuzzy clustering approach for fuzzy data based on a generalized distance

dc.contributor.author	Ramos Guajardo, Ana Belén
dc.contributor.author	Ferraro, M. B.
dc.date.accessioned	2020-01-23T08:17:49Z
dc.date.available	2020-01-23T08:17:49Z
dc.date.issued	2019
dc.identifier.citation	Fuzzy Sets and Systems, 389, p. 29-50 (2019); doi:10.1016/j.fss.2019.09.010
dc.identifier.issn	0165-0114
dc.identifier.uri	http://hdl.handle.net/10651/53861
dc.description.sponsorship	The research in this paper has been partially supported by the Spanish Ministry of Economy and Competitiveness through MINECO-18-MTM2017-89632-P Grant and by the COST Action 1408. Their financial support is gratefully acknowledged.
dc.language.iso	eng
dc.relation.ispartof	Fuzzy Sets and Systems, 389
dc.rights	© 2019 Elsevier
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072692927&doi=10.1016%2fj.fss.2019.09.010&partnerID=40&md5=5de6b60dccc50c51c9af645dc0b3058a
dc.title	A fuzzy clustering approach for fuzzy data based on a generalized distance
dc.type	journal article
dc.identifier.doi	10.1016/j.fss.2019.09.010
dc.relation.projectID	MINECO-18-MTM2017-89632-P
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.fss.2019.09.010
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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