Overview
- Provides recent research in self-organizing maps, learning vector quantization, clustering, and data visualization
- Presents computational aspects and applications for data mining and visualization
- Contains refereed papers presented at the 14th International Workshop WSOM+ 2022
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 533)
Included in the following conference series:
Conference proceedings info: WSOM+ 2022.
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About this book
In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.
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Table of contents (11 papers)
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Front Matter
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Back Matter
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Book Subtitle: Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022
Editors: Jan Faigl, Madalina Olteanu, Jan Drchal
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-15444-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-15443-0Published: 27 August 2022
eBook ISBN: 978-3-031-15444-7Published: 26 August 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XII, 119
Number of Illustrations: 11 b/w illustrations, 34 illustrations in colour