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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15855
Title: Unilateral Jaccard similarity coefficient
Authors: Santisteban Pablo, Julio Omar
Tejada Carcamo, Javier
Keywords: Semantics;Distance;Jaccard;Jaccard similarity coefficients;Pattern recognition problems;Semantic relationships;Similarity;Similarity measure;Two-point;Pattern recognition
Issue Date: 2015
Publisher: CEUR-WS
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940108401&partnerID=40&md5=025853cb1b89c14b3bdfefe666573e48
Abstract: Similarity 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.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15855
ISSN: 16130073
Appears in Collections:Artículos de investigación

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