Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022
In this collection, the reader can ?nd 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 ?elds 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, speci?cally those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.
| ISBN: | 9783031154430 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 119 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Drchal, Jan Faigl, Jan Olteanu, Madalina |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 27.08.2022 |
| Untertitel: | Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022 |
| Schlagworte: | Computational Intelligence Data Visualization Intelligent Systems LVQ Learning Vector Quantization SOM Self-Organizing Maps WSOM WSOM 2022 |
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