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Título
Self Organized Dynamic Tree Neural Network
Autor(es)
Materia
Computer Science
Fecha de publicación
2009
Editor
Springer Science + Business Media
Citación
Bio-Inspired Systems: Computational and Ambient Intelligence Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5517, pp. 220-227.
Resumen
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
ISBN
978-3-642-02477-1 (Print) / 978-3-642-02478-8 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
Colecciones
- BISITE. Congresos [232]