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Efficiently Finding the Optimum Number of Clusters in a Dataset with a New Hybrid Cellular Evolutionary Algorithm

Fuente: Redalyc

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Detalles Bibliográficos
Autor principal:	Javier Arellano-Verdejo
Formato:	Artículo científico
Lenguaje:	en
Publicado:	Instituto Politécnico Nacional 2014
Materias:	Computación micro Clustering evolutionary algorithms cellular genetic algorithm optimal number of clusters
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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