Moderate deviation and restricted equivalence functions for measuring similarity between data
Fecha
2019Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
ES/1PE/TIN2016-77356-P
Impacto
|
10.1016/j.ins.2019.05.078
Resumen
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. [--]
Materias
Deviation,
Aggregation function,
Restricted equivalence function,
Moderate deviation function,
Penalty function
Editor
Elsevier
Publicado en
Information Sciences, 501 (2019) 19-29
Departamento
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
Versión del editor
Entidades Financiadoras
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 .
Aparece en las colecciones
Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.
La licencia del ítem se describe como © 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.
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