Overview
- Covers the latest theoretical developments
- Presents computational aspects and applications for data mining and visualization
- Contains refereed papers presented at the Workshop on Self-Organizing Maps (WSOM 2016) held in Houston, Texas, 6-8 January 2016
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 428)
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About this book
This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization.
The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.
The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.
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Keywords
Table of contents (31 papers)
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Front Matter
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Self-Organizing Map Learning, Visualization, and Quality Assessment
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Front Matter
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Clustering and Time Series Analysis with Self-Organizing Maps and Neural Gas
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Front Matter
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Applications in Control, Planning, and Dimensionality Reduction, and Hardware for Self-Organizing Maps
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Front Matter
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Self-Organizing Maps in Neuroscience and Medical Applications
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Advances in Self-Organizing Maps and Learning Vector Quantization
Book Subtitle: Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
Editors: Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-28518-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-28517-7Published: 08 January 2016
eBook ISBN: 978-3-319-28518-4Published: 07 January 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIII, 370
Number of Illustrations: 24 b/w illustrations, 65 illustrations in colour