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Self Organized Dynamic Tree Neural Network

  • Juan F. De Paz
  • Sara Rodríguez
  • Javier Bajo
  • Juan M. Corchado
  • Vivian López
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5517)

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.

Keywords

Clustering SOM hierarchical clustering PAM Dendrogram 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Juan F. De Paz
    • 1
    • 2
  • Sara Rodríguez
    • 1
    • 2
  • Javier Bajo
    • 1
    • 2
  • Juan M. Corchado
    • 1
    • 2
  • Vivian López
    • 1
    • 2
  1. 1.Departamento de Informática y AutomáticaUniversidad de SalamancaSalamancaEspaña
  2. 2.Department of Computer Science and AutomationUniversity of SalamancaSalamancaSpain

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