2026-09-16T19:54:07Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1345002025-04-30T20:38:56Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134486

Baruque, Bruno Corchado Rodríguez, Emilio Santiago 2017-09-06T09:05:02Z 2017-09-06T09:05:02Z 2007 Innovations in Hybrid Intelligent Systems Advances in Soft Computing. Advances in Soft Computing. Volumen 44, pp. 151-158. 978-3-540-74971-4 (Online) / 978-3-540-74972-1(Print) 1867-5662 (Print) http://hdl.handle.net/10366/134500 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. application/pdf en Springer Science + Business Media Computer Science Fusion of Visualization Induced SOM info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/openAccess