Skip to main content
SpringerLink
Log in

Advances in Self-Organizing Maps

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

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Pablo A. Estévez

    1. , Department of Electrical Engineering, University of Chile, Santiago, Chile

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. José C. Príncipe

    1. , Computational NeuroEngineering Lab., University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Pablo Zegers

    1. , Facultad de Ingeniería y, Universidad de los Andes, Santiago, Chile

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Recent Research in Self-Organizing Maps
  • Proceedings of the 9th Workshop on Self-Organizing Maps WSOM 2012 held 12-14 December 2012 in Santiago, Chile
  • Written by leading experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (36 papers)

  1. Front Matter

    Pages 1-11
    Download chapter PDF

  2. How to Visualize Large Data Sets?

    • Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
    Pages 1-12

  3. On-Line Relational SOM for Dissimilarity Data

    • Madalina Olteanu, Nathalie Villa-Vialaneix, Marie Cottrell
    Pages 13-22

  4. Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects

    • Michael Biehl, Marika Kästner, Mandy Lange, Thomas Villmann
    Pages 23-33

  5. Classification of Chain-Link and Other Data with Spherical SOM

    • Masaaki Ohkita, Heizo Tokutaka, Makoto Ohki, Matashige Oyabu, Kikuo Fujimura
    Pages 35-44

  6. Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps

    • Willem S. van Heerden, Andries P. Engelbrecht
    Pages 45-54

  7. Controlling Self-Organization and Handling Missing Values in SOM and GTM

    • Tommi Vatanen, Ilari T. Nieminen, Timo Honkela, Tapani Raiko, Krista Lagus
    Pages 55-64

  8. Opposite Maps for Hard Margin Support Vector Machines

    • Ajalmar R. da Rocha Neto, Guilherme A. Barreto
    Pages 65-74

  9. Intuitive Volume Exploration through Spherical Self-Organizing Map

    • Naimul Mefraz Khan, Matthew Kyan, Ling Guan
    Pages 75-84

  10. Using SOM as a Tool for Automated Design of Clustering Systems Based on Fuzzy Predicates

    • Gustavo J. Meschino, Diego S. Comas, Virginia L. Ballarin, Adriana G. Scandurra, Lucía I. Passoni
    Pages 85-94

  11. From Forced to Natural Competition in a Biologically Plausible Neural Network

    • Francisco Javier Ropero Peláez, Antonio Carlos Godoi
    Pages 95-104

  12. Sparse Coding Neural Gas Applied to Image Recognition

    • Horia Coman, Erhardt Barth, Thomas Martinetz
    Pages 105-114

  13. Hand Tracking with an Extended Self-Organizing Map

    • Andreea State, Foti Coleca, Erhardt Barth, Thomas Martinetz
    Pages 115-124

  14. Trajectory Analysis on Spherical Self-Organizing Maps with Application to Gesture Recognition

    • Artur Oliva Gonsales, Matthew Kyan
    Pages 125-134

  15. Image Representation Using the Self-Organizing Map

    • Leandro A. Silva, Bruno Pazzinato, Orlando B. Coelho
    Pages 135-143

  16. Inverse Halftoning by Means of Self-Organizing Maps

    • Flavio Moreira da Costa, Sidnei Alves de Araújo, Renato José Sassi
    Pages 145-152

  17. Restoration Model with Inference Capability of Self-Organizing Maps

    • Michiharu Maeda
    Pages 153-162

  18. Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle

    • Lucía I. Passoni, Ana Lucía Dai Pra, Adriana Scandurra, Gustavo Meschino, Christian Weber, Marcelo Guzmán et al.
    Pages 163-171

  19. Online Visualization of Prototypes and Receptive Fields Produced by LVQ Algorithms

    • David Nova, Pablo A. Estévez
    Pages 173-182

  20. Efficient Approximations of Kernel Robust Soft LVQ

    • Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
    Pages 183-192
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • , Department of Electrical Engineering, University of Chile, Santiago, Chile

    Pablo A. Estévez

  • , Computational NeuroEngineering Lab., University of Florida, Gainesville, USA

    José C. Príncipe

  • , Facultad de Ingeniería y, Universidad de los Andes, Santiago, Chile

    Pablo Zegers

Bibliographic Information

  • Book Title: Advances in Self-Organizing Maps

  • Book Subtitle: 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings

  • Editors: Pablo A. Estévez, José C. Príncipe, Pablo Zegers

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-642-35230-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-35229-4Published: 14 December 2012

  • eBook ISBN: 978-3-642-35230-0Published: 14 December 2012

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 364

  • Number of Illustrations: 133 b/w illustrations

  • Topics: Computational Intelligence, Complexity, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation