Association measures and aggregation functions

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13 Citas (Scopus)

Resumen

The concept of association measure generalizing the Pearson correlation coefficient is introduced. The methods of generation of association measures by means of pseudo-difference associated to some t-conorm and by similarity measures are proposed. The association measure can be introduced on any set with involutive reflection operation and suitably defined similarity measure. The methods of construction of association measures by Minkowski metric and data standardization using the aggregation functions are considered. The cosine similarity and the Pearson's correlation coefficient are obtained as partial cases of the proposed general methods.

Idioma originalInglés
Título de la publicación alojadaAdvances in Soft Computing and Its Applications - 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Proceedings
Páginas194-203
Número de páginas10
EdiciónPART 2
DOI
EstadoPublicada - 2013
Publicado de forma externa
Evento12th Mexican International Conference on Artificial Intelligence, MICAI 2013 - Mexico City, México
Duración: 24 nov. 201330 nov. 2013

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 2
Volumen8266 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia12th Mexican International Conference on Artificial Intelligence, MICAI 2013
País/TerritorioMéxico
CiudadMexico City
Período24/11/1330/11/13

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