A classifier system using smooth graph coloring

 

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφείς: Flores-Cruz, Jorge, Lara-Velázquez, Pedro, Gutiérrez-Andrade, Miguel A., De-Los-Cobos-Silva, Sergio G., Rincón-García, Eric A.
Μορφή: artículo original
Κατάσταση:Versión publicada
Ημερομηνία έκδοσης:2017
Περιγραφή: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.
Χώρα:Portal de Revistas UCR
Ίδρυμα:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Γλώσσα:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/27795
Διαθέσιμο Online:https://revistas.ucr.ac.cr/index.php/matematica/article/view/27795
Access Level:acceso abierto
Λέξη-Κλειδί :soft coloring
unsupervised classification
clustering
optimization
coloración suave
clasificación no supervisada
clasificación automática
agrupación
optimización