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Fusion of Visualization Induced SOM

  • Bruno Baruque
  • Emilio Corchado
Part of the Advances in Soft Computing book series (AINSC, volume 44)

Abstract

In this study ensemble techniques have been applied in the frame of topology preserving mappings with visualization purposes. A novel extension of the ViSOM (Visualization Induced SOM) is obtained by the use of the ensemble meta-algorithm and a later fusion process. This main fusion algorithm has two different variants, considering two different criteria for the similarity of nodes. These criteria are Euclidean distance and similarity on Voronoi polygons. The goal of this upgrade is to improve the quality and robustness of the single model. Some experiments performed over different datasets applying the two variants of the fusion and other simpler models are included for comparison purposes.

Keywords

Classification Accuracy Input Space Mapping Fusion Best Match Unit Voronoi Polygon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Bruno Baruque
    • 1
  • Emilio Corchado
    • 1
  1. 1.Department of Civil EngineeringUniversity of BurgosSpain

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