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  1. Home
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Browsing by Author "Bokan Garay, Alessandro"

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    A GH-SOM optimization with SOM labelling and dunn index
    (Scopus, 2011) Bokan Garay, Alessandro; Ponce Contreras, Guillermo; Patiño Escarcina, Raquel
    Clustering is an unsupervised classification method that divides a data set in groups, where the elements of a group have similar characteristics to each other. A well-known clustering method is the Growing Hierarchical Self-Organizing Map (GH-SOM), that improves the results of an ordinary SOM by controlling the number of neurons generated. In this paper it is proposed a optimization of the typical GH-SOM, using a cluster validation index to verify the quality of partitioning. © 2011 IEEE.
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