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Título
Fusion of Visualization Induced SOM
Autor(es)
Materia
Computer Science
Fecha de publicación
2007
Editor
Springer Science + Business Media
Citación
Innovations in Hybrid Intelligent Systems Advances in Soft Computing. Advances in Soft Computing. Volumen 44, pp. 151-158.
Resumen
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.
URI
ISBN
978-3-540-74971-4 (Online) / 978-3-540-74972-1(Print)
ISSN
1867-5662 (Print)
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