Advances in Self-Organizing Maps

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

3. Financial and Societal Applications

   1. Assessing the Efficiency of Health Care Providers: A SOM Perspective

      • Marina Resta

      Pages 30-39

   2. Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series

      • Peter Sarlin, Tomas Eklund

      Pages 40-50

   3. Self Organizing Maps as Models of Social Processes: The Case of Electoral Preferences

      • Antonio Neme, Sergio Hernández, Omar Neme

      Pages 51-60

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

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.

• ANN
• SOM algorithms
• bioinspired computing
• computational intelligence
• natural computing
• neural networks
• statistical machine learning

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

  Jorma Laaksonen, Timo Honkela

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