Moderate deviation and restricted equivalence functions for measuring similarity between data
Date
2019Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión aceptada / Onetsi den bertsioa
Project Identifier
ES/1PE/TIN2016-77356-P
Impact
|
10.1016/j.ins.2019.05.078
Abstract
In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or dissimilarity between a given set of data. We show an application of moderate deviate functions used in the same way as penalty functions to make a final decision from a score mat ...
[++]
In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or dissimilarity between a given set of data. We show an application of moderate deviate functions used in the same way as penalty functions to make a final decision from a score matrix in a classification problem. [--]
Subject
Deviation,
Aggregation function,
Restricted equivalence function,
Moderate deviation function,
Penalty function
Publisher
Elsevier
Published in
Information Sciences, 501 (2019) 19-29
Departament
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Publisher version
Sponsorship
This work was supported in part by the Spanish Ministry of Science and Technology under project TIN2016-77356-P (AEI / FEDER, UE) and by grant VEGA 1/0614/18 .
Appears in Collections
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Except where otherwise noted, this item's license is described as © 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.
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