Overview
- 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)
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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.
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Keywords
Table of contents (36 papers)
Editors and Affiliations
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