Unilateral Jaccard similarity coefficient

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dc.contributor.authorSantisteban Pablo, Julio Omar
dc.contributor.authorTejada Carcamo, Javier
dc.date.accessioned2019-01-29T22:19:54Z
dc.date.available2019-01-29T22:19:54Z
dc.date.issued2015
dc.description.abstractSimilarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Jaccard Similarity Coefficient (uJaccard), which doesn't only take into consideration the space among two points but also the semantics among them. Copyright © 2015 for the individual papers by the papers' authors.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.issn16130073es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15855
dc.language.isoenges_PE
dc.publisherCEUR-WSes_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84940108401&partnerID=40&md5=025853cb1b89c14b3bdfefe666573e48es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectSemanticses_PE
dc.subjectDistancees_PE
dc.subjectJaccardes_PE
dc.subjectJaccard similarity coefficientses_PE
dc.subjectPattern recognition problemses_PE
dc.subjectSemantic relationshipses_PE
dc.subjectSimilarityes_PE
dc.subjectSimilarity measurees_PE
dc.subjectTwo-pointes_PE
dc.subjectPattern recognitiones_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleUnilateral Jaccard similarity coefficientes_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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