Nuevas técnicas de particionamiento en clasificación automática

 

Gespeichert in:
Bibliographische Detailangaben
Autoren: Piza, Eduardo, Murillo, Álex, Trejos, Javier
Format: artículo original
Status:Versión publicada
Publikationsdatum:1999
Beschreibung:In this article there are exposed some new thechniques for hte search of global optima inthe partitioning problem in Cluster Analysis. With these thechniques the results are sensibly improved with respect to the traditional methods. The methods developed here are well known in Combinatorial Optimization: i) simulated annealing; ii) tabu search, iii) genetic algorithms. We use these three approaches in the partitioning problem for clustering, following a search xhee similar to that of Regnier's algorithm of transfers.
Land:Portal de Revistas UCR
Institution:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Sprache:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/168
Online Zugang:https://revistas.ucr.ac.cr/index.php/matematica/article/view/168
Access Level:acceso abierto
Stichwort:Clustering
stochastic optimization
combinatorial optimization
heuristics
Clasificación
optimización estocástica
optimización combinatoria
heurística