Advances in Self-Organizing Maps

9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings

  • Pablo A. Estévez
  • José C. Príncipe
  • Pablo Zegers
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 198)

Table of contents

  1. Front Matter
    Pages 1-11
  2. Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
    Pages 1-12
  3. Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
    Pages 13-22
  4. Michael Biehl, Marika Kästner, Mandy Lange, Thomas Villmann
    Pages 23-33
  5. Masaaki Ohkita, Heizo Tokutaka, Makoto Ohki, Matashige Oyabu, Kikuo Fujimura
    Pages 35-44
  6. Willem S. van Heerden, Andries P. Engelbrecht
    Pages 45-54
  7. Tommi Vatanen, Ilari T. Nieminen, Timo Honkela, Tapani Raiko, Krista Lagus
    Pages 55-64
  8. Ajalmar R. da Rocha Neto, Guilherme A. Barreto
    Pages 65-74
  9. Naimul Mefraz Khan, Matthew Kyan, Ling Guan
    Pages 75-84
  10. Gustavo J. Meschino, Diego S. Comas, Virginia L. Ballarin, Adriana G. Scandurra, Lucía I. Passoni
    Pages 85-94
  11. Francisco Javier Ropero Peláez, Antonio Carlos Godoi
    Pages 95-104
  12. Horia Coman, Erhardt Barth, Thomas Martinetz
    Pages 105-114
  13. Andreea State, Foti Coleca, Erhardt Barth, Thomas Martinetz
    Pages 115-124
  14. Leandro A. Silva, Bruno Pazzinato, Orlando B. Coelho
    Pages 135-143
  15. Flavio Moreira da Costa, Sidnei Alves de Araújo, Renato José Sassi
    Pages 145-152
  16. Lucía I. Passoni, Ana Lucía Dai Pra, Adriana Scandurra, Gustavo Meschino, Christian Weber, Marcelo Guzmán et al.
    Pages 163-171
  17. Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
    Pages 183-192

About these proceedings

Introduction

Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.

This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.

Keywords

Complexity Data Mining Intelligent Systems Self-Organizing Maps

Editors and affiliations

  • Pablo A. Estévez
    • 1
  • José C. Príncipe
    • 2
  • Pablo Zegers
    • 3
  1. 1., Department of Electrical EngineeringUniversity of ChileSantiagoChile
  2. 2., Computational NeuroEngineering Lab.University of FloridaGainesvilleUSA
  3. 3., Facultad de Ingeniería yUniversidad de los AndesSantiagoChile

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35230-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-35229-4
  • Online ISBN 978-3-642-35230-0
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365