Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings

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 9^th 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.

Table des matières

Nonlinear Analysis and Time Series
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Text Mining and Language Processing
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Applications of Data Mining and Analysis.

A propos de l'auteur

José C. Principe is BellSouth Professor in the Electrical and Computer Engineering Department at the University of Florida, Gainesville.

Résumé

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 9^th 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.

Détails du produit

• Auteurs: Pablo A. Estévez, José C. Príncipe, Pablo Zegers
• Collaboration: Jos C Príncipe (Editeur), José C Príncipe (Editeur), Pablo A. Estevez (Editeur), Pablo A. Estévez (Editeur), Jose C. Principe (Editeur), José C. Principe (Editeur), José C. Príncipe (Editeur), Pablo Zegers (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.01.2013
• EAN: 9783642352294
• ISBN: 978-3-642-35229-4
• Pages: 364
• Dimensions: 184 mm x 236 mm x 20 mm
• Poids: 575 g
• Illustrations: XIV, 364 p. 133 illus.
• Thèmes: Advances in Intelligent and Soft Computing; Advances in Intelligent Systems and Computing; Advances in Intelligent Systems and Computing
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires; B, Artificial Intelligence, engineering, complexity, Computational Intelligence, Maths for engineers, Cybernetics & systems theory, Applied Dynamical Systems, Computational complexity, Cybernetics and systems theory