A hierarchical clustering method for random intervals based on a similarity measure

dc.contributor.author	Ramos Guajardo, Ana Belén
dc.date.accessioned	2021-11-18T12:24:15Z
dc.date.available	2021-11-18T12:24:15Z
dc.date.issued	2021
dc.identifier.citation	Computational Statistics (2021); doi:10.1007/s00180-021-01121-3
dc.identifier.issn	0943-4062
dc.identifier.uri	http://hdl.handle.net/10651/61152
dc.description.sponsorship	The research in this paper has been supported by the Spanish Government through MINECO-18-MTM2017-89632-P Grant. Its financial support is gratefully acknowledged.
dc.language.iso	eng
dc.relation.ispartof	Computational Statistics
dc.rights	© The Author(s) 2021, corrected publication 2021
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-s2.0-85110519862&doi=10.1007%2fs00180-021-01121-3&partnerID=40&md5=d40a9fe83f2146529e4f9d8e78e523a2
dc.title	A hierarchical clustering method for random intervals based on a similarity measure
dc.type	journal article
dc.identifier.doi	10.1007/s00180-021-01121-3
dc.local.notes	OA ATUO21
dc.relation.projectID	MINECO-18-MTM2017-89632-P
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00180-021-01121-3
dc.rights.accessRights	open access

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