A classifier system using smooth graph coloring

 

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Bibliografske podrobnosti
Autores: Flores-Cruz, Jorge, Lara-Velázquez, Pedro, Gutiérrez-Andrade, Miguel A., De-Los-Cobos-Silva, Sergio G., Rincón-García, Eric A.
Format: artículo original
Status:Versión publicada
Fecha de Publicación:2017
Opis:Unsupervised classifiers allow clustering methods with less or no human intervention. Therefore it is desirable to group the set of items with less data processing. This paper proposes an unsupervised classifier system using the model of soft graph coloring. This method was tested with some classic instances in the literature and the results obtained were compared with classifications made with human intervention, yielding as good or better results than supervised classifiers, sometimes providing alternative classifications that considers additional information that humans did not considered.
País:Portal de Revistas UCR
Institucija:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jezik:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/27795
Online dostop:https://revistas.ucr.ac.cr/index.php/matematica/article/view/27795
Ključna beseda:soft coloring
unsupervised classification
clustering
optimization
coloración suave
clasificación no supervisada
clasificación automática
agrupación
optimización