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Advances in Self-Organizing Maps

8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Jorma Laaksonen

    1. Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland

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  2. Timo Honkela

    1. Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6731)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: WSOM 2011.

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Table of contents (36 papers)

  1. Front Matter

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  2. Plenaries

    1. Topographic Mapping of Dissimilarity Data

      • Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
      Pages 1-15

    2. Contextually Self-Organized Maps of Chinese Words

      • Teuvo Kohonen, Hongbing Xing
      Pages 16-29

  4. Theory and Methodology

    1. EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization

      • Serafín Alonso, Mika Sulkava, Miguel Angel Prada, Manuel Domínguez, Jaakko Hollmén
      Pages 61-70

    2. Spectral Clustering as an Automated SOM Segmentation Tool

      • Kadim Taşdemir
      Pages 71-78

    3. Sparse Functional Relevance Learning in Generalized Learning Vector Quantization

      • Thomas Villmann, Marika Kästner
      Pages 79-89

    4. Relevance Learning in Unsupervised Vector Quantization Based on Divergences

      • Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann
      Pages 90-100

    5. Requirements for the Learning of Multiple Dynamics

      • Takashi Ohkubo, Tetsuo Furukawa, Kazuhiro Tokunaga
      Pages 101-110

    6. Growing Graph Network Based on an Online Gaussian Mixture Model

      • Kazuhiro Tokunaga
      Pages 111-120

    7. Evolving a Self-Organizing Feature Map for Visual Object Tracking

      • José Everardo B. Maia, Guilherme A. Barreto, André Luís V. Coelho
      Pages 121-130

    8. Topographic Measure Based on External Criteria for Self-Organizing Map

      • Ken-ichi Fukui, Masayuki Numao
      Pages 131-140

    9. Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps

      • Pavel Stefanovič, Olga Kurasova
      Pages 141-150

    10. Gamma-Filter Self-Organizing Neural Networks for Time Series Analysis

      • Pablo A. Estévez, Rodrigo Hernández
      Pages 151-159

  5. Applications of Data Mining and Analysis

    1. Self-Organizing Maps of Nutrition, Lifestyle and Health Situation in the World

      • Yasir Mehmood, Mudassar Abbas, Xi Chen, Timo Honkela
      Pages 160-167

    2. Mining the City Data: Making Sense of Cities with Self-Organizing Maps

      • Omar Neme, J R G Pulido, Antonio Neme
      Pages 168-177

    3. A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps

      • Julia Moehrmann, Andre Burkovski, Evgeny Baranovskiy, Geoffrey-Alexeij Heinze, Andrej Rapoport, Gunther Heidemann
      Pages 178-187

    4. Design of a Structured 3D SOM as a Music Archive

      • Arnulfo Azcarraga, Sean Manalili
      Pages 188-197
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About this book

This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on plenaries; financial and societal applications; theory and methodology; applications of data mining and analysis; language processing and document analysis; and visualization and image processing.

Editors and Affiliations

  • Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland

    Jorma Laaksonen, Timo Honkela

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