Fusion of Visualization Induced SOM

Título

dc.contributor.author	Baruque, Bruno
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.date.accessioned	2017-09-06T09:05:02Z
dc.date.available	2017-09-06T09:05:02Z
dc.date.issued	2007
dc.identifier.citation	Innovations in Hybrid Intelligent Systems Advances in Soft Computing. Advances in Soft Computing. Volumen 44, pp. 151-158.
dc.identifier.isbn	978-3-540-74971-4 (Online) / 978-3-540-74972-1(Print)
dc.identifier.issn	1867-5662 (Print)
dc.identifier.uri	http://hdl.handle.net/10366/134500
dc.description.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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.subject	Computer Science
dc.title	Fusion of Visualization Induced SOM
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess