Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
Author:   Erzsébet Merényi ,  Michael J. Mendenhall ,  Patrick O'Driscoll
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   428
ISBN:  

9783319285177


Pages:   370
Publication Date:   08 January 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016


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Author:   Erzsébet Merényi ,  Michael J. Mendenhall ,  Patrick O'Driscoll
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   428
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   5.796kg
ISBN:  

9783319285177


ISBN 10:   3319285173
Pages:   370
Publication Date:   08 January 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Self-Organizing Map Learning, Visualization, and Quality Assessment.- Clustering and Time Series Analysis with Self-Organizing Maps and Neural Gas.-Applications in Control, Planning, and Dimensionality Reduction, and Hardware for Self-Organizing Maps.- Self-Organizing Maps in Neuroscience and Medical Applications.- Learning Vector Quantization Theories and Applications I.- Learning Vector Quantization Theories and Applications II.

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