Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization / Lecture Notes in Networks and Systems Bd.533 (PDF)
Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022
(Sprache: Englisch)
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...
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Produktinformationen zu „Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization / Lecture Notes in Networks and Systems Bd.533 (PDF)“
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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 119 Seiten, Englisch
- Herausgegeben: Jan Faigl, Madalina Olteanu, Jan Drchal
- Verlag: Springer International Publishing
- ISBN-10: 3031154444
- ISBN-13: 9783031154447
- Erscheinungsdatum: 26.08.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 13 MB
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Englisch
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