Unilateral Jaccard similarity coefficient

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Date
2015
Authors
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Journal ISSN
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Publisher
CEUR-WS
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.
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Keywords
Semantics , Distance , Jaccard , Jaccard similarity coefficients , Pattern recognition problems , Semantic relationships , Similarity , Similarity measure , Two-point , Pattern recognition
Citation
URI
https://hdl.handle.net/20.500.12590/15855
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Artículos - Ciencias de la Computación