A classifier system using smooth graph coloring

 

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Autores: Flores-Cruz, Jorge, Lara-Velázquez, Pedro, Gutiérrez-Andrade, Miguel A., De-Los-Cobos-Silva, Sergio G., Rincón-García, Eric A.
格式: artículo original
状态:Versión publicada
Fecha de Publicación:2017
实物特征: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
机构:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
语言:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/27795
在线阅读:https://revistas.ucr.ac.cr/index.php/matematica/article/view/27795
Access Level:acceso abierto
Palabra clave:soft coloring
unsupervised classification
clustering
optimization
coloración suave
clasificación no supervisada
clasificación automática
agrupación
optimización