A classifier system using smooth graph coloring

 

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Detaylı Bibliyografya
Yazarlar: Flores-Cruz, Jorge, Lara-Velázquez, Pedro, Gutiérrez-Andrade, Miguel A., De-Los-Cobos-Silva, Sergio G., Rincón-García, Eric A.
Materyal Türü: artículo original
Durum:Versión publicada
Yayın Tarihi:2017
Diğer Bilgiler: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.
Ülke:Portal de Revistas UCR
Kurum:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Dil:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/27795
Online Erişim:https://revistas.ucr.ac.cr/index.php/matematica/article/view/27795
Access Level:acceso abierto
Anahtar Kelime:soft coloring
unsupervised classification
clustering
optimization
coloración suave
clasificación no supervisada
clasificación automática
agrupación
optimización