Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
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 guidanc...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | Advances in Intelligent Systems and Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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.