Please use this identifier to cite or link to this item: http://hdl.handle.net/10366/134960
Self Organized Dynamic Tree Neural Network: Profile on PlumX
Title: Self Organized Dynamic Tree Neural Network
Authors: de Paz Santana, Juan F.
Rodríguez González, Sara
Bajo Pérez, Javier
Corchado Rodríguez, Juan M.
López, Vivian
Keywords: Computer Science
Issue Date: 2009
Publisher: Springer Science + Business Media
Citation: Bio-Inspired Systems: Computational and Ambient Intelligence Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5517, pp. 220-227.
Abstract: Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partitional, hierarchical, density studies, probabilistic, etc. This article will present the SODTNN, which can perform clustering by integrating hierarchical and density-based methods. The network incorporates the behavior of self-organizing maps and does not specify the number of existing clusters in order to create the various groups.
URI: http://hdl.handle.net/10366/134960
ISBN: 978-3-642-02477-1 (Print) / 978-3-642-02478-8 (Online)
ISSN: 0302-9743 (Print) / 1611-3349 (Online)
Appears in Collections:BISITE. Congresos

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