Open access peer-reviewed Edited Volume

Self-Organizing Maps

Edited by George Matsopoulos

National Technical University of Athens, Greece

The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning technique to train itself in an unsupervised manner. SOMs are different from other artificial neural networks in the sense that they use a neighborhood function to preserve the topological properties of the input space and they have been used to create an ordered representation of multi-dimensional data which simplifies complexity and reveals meaningful relationships. Prof. T. Kohonen in the early 1980s first established the relevant theory and explored possible applications of SOMs. Since then, a number of theoretical and practical applications of SOMs have been reported including clustering, prediction, data representation, classification, visualization, etc. This book was prompted by the desire to bring together some of the more recent theoretical and practical developments on SOMs and to provide the background for future developments in promising directions. The book comprises of 25 Chapters which can be categorized into three broad areas: methodology, visualization and practical applications.

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Self-Organizing MapsEdited by George Matsopoulos

Published: April 1st 2010

DOI: 10.5772/3473

ISBN: 978-953-307-074-2

eBook (PDF) ISBN: 978-953-51-5900-1

Copyright year: 2010

Books open for chapter submissions

68256 Total Chapter Downloads

40 Crossref Citations

62 Web of Science Citations

74 Dimensions Citations


Open access peer-reviewed

1. An Adaptive Fuzzy Neural Network Based on Self-Organizing Map (SOM)

By Jun-fei Qiao and Hong-gui Han


Open access peer-reviewed

2. Learning the Number of Clusters in Self Organizing Map

By Guenael Cabanes and Younes Bennani


Open access peer-reviewed

3. Improvements Quality of Kohonen Maps Using Dimension Reduction Methods

By Jiri Dvorsky, Vaclav Snasel and Jana Kocibova


Open access peer-reviewed

4. PartSOM: A Framework for Distributed Data Clustering Using SOM and K-Means

By Flavius L. Gorgonio and Jose Alfredo F. Costa


Open access peer-reviewed

5. Kohonen Maps Combined to K-means in a Two Level Strategy for Time Series ClusteringApplication to Meteorological and Electricity Load data

By Khadir M. Tarek, Khdairia Sofiane and Benabbas Farouk


Open access peer-reviewed

6. Visual-Interactive Analysis With Self-Organizing Maps - Advances and Research Challenges

By Tobias Schreck


Open access peer-reviewed

7. Tracking and Visualization of Cluster Dynamics by Sequence-based SOM

By Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao


Open access peer-reviewed

8. Visualization with Voronoi Tessellation and Moving Output Units in Self-Organizing Map of the Real-Number System

By Yuji Matsumoto, Motohide Umano and Masahiro Inuiguchi


Open access peer-reviewed

9. Using Self Organizing Maps for 3D surface and volume adaptive mesh generation

By Olga Nechaeva


Open access peer-reviewed

10. Neural-Network Enhanced Visualization of High-Dimensional Data

By Urska Cvek, Marjan Trutschl and John Clifford


Open access peer-reviewed

11. The Self-Organizing Approach for Surface Reconstruction from Unstructured Point Clouds

By Vilson L. DalleMole, Renata L. M. E. do Rego and Aluizio F. R. Araujo


Open access peer-reviewed

12. Self-Organizing Maps for Processing of Data with Missing Values and Outliers: Application to Remote Sensing Images

By Bassam Abdel Latif and Gregoire Mercier


Open access peer-reviewed

13. Image Clustering and Evaluation on Impact Perforation Test by Self-Organizing Map

By Takehiko Ogawa


Open access peer-reviewed

14. Self-Organizing Map-based Applications in Remote Sensing

By Anthony Filippi, Iliyana Dobreva, Andrew G. Klein and John R. Jensen


Open access peer-reviewed

15. Segmentation of Satellite Images Using Self-Organizing Maps

By Mohamad Awad


Open access peer-reviewed

16. Bridging the Semantic Gap using Human Vision System Inspired Features

By Gaetan Martens, Peter Lambert and Rik Van de Walle


Open access peer-reviewed

17. Face Recognition Using Self-Organizing Maps

By Qiu Chen, Koji Kotani, Feifei Lee and Tadahiro Ohmi


Open access peer-reviewed

18. Generation of Emotional Feature Space for Facial Expression Recognition Using Self-Mapping

By Masaki Ishii and Makoto Nishida


Open access peer-reviewed

19. Fingerprint Matching with Self Organizing Maps

By Anastasia N. Ouzounoglou, Pantelis A. Asvestas and George K. Matsopoulos


Open access peer-reviewed

20. Multiple Self-Organizing Maps for Control of a Redundant Manipulator with Multiple Cameras

By Nobuhiro Okada, Jinjun Qiu and Eiji Kondo


Open access peer-reviewed

21. Tracking English and Translated Arabic News using GHSOM

By Ali Selamat and Hanadi Hassen Ismail Mohammed


Open access peer-reviewed

22. Self-organizing Maps in Web Mining and Semantic Web

By Emil St. Chifu and Ioan Alfred Letia


Open access peer-reviewed

23. Secure Wireless Mesh Network based on Human Immune System and Self-Organizing Map

By Mahira M. Mowjoon and Johnson I Agbinya


Open access peer-reviewed

24. A Knowledge Acquisition Method of Judgment Rules for Spam E-mail by using Self Organizing Map and Automatically Defined Groups by Genetic Programming

By Takumi Ichimura, Kazuya Mera and Akira Hara


Open access peer-reviewed

25. Applying an SOM Neural Network to Increase the Lifetime of Battery-Operated Wireless Sensor Networks

By Mario Cordina and Carl James Debono


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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