ViSOM ensembles for visualization and classification

Authors:
Bruno Baruque;Emilio Corchado;Hujun Yin
Affiliations:
Department of Civil Engineering, University of Burgos, Spain;Department of Civil Engineering, University of Burgos, Spain;School of Electrical and Electronic Engineering. University of Manchester, UK
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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Abstract

In this paper ensemble techniques have been applied in the frame of topology preserving mappings in two applications: classification and visualization. These techniques are applied for the first time to the ViSOM and their performance is compared with ensemble combination of some other topology preserving mapping such as the SOM or the MLSIM. Several methods to obtain a meaningful combination of the components of an ensemble are presented and tested together with the existing ones in order to identify the best performing method in the applications of these models.