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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen - ... 2022, Prague, Czechia, July 6-7, 2022: 533 - Brossura
Sinossi
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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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (eng)
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
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Springer International Publishing Aug 2022, 2022
ISBN 10: 3031154436
ISBN 13: 9783031154430
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 132 pp. Englisch. Codice articolo 9783031154430
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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
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen / ... (Lecture Notes in Networks and Systems, 533)
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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
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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
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783031154430
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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
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Taschenbuch. Condizione: Neu. 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 | Jan Faigl (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xii | Englisch | 2022 | Springer | EAN 9783031154430 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 122241409
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
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Springer, Palgrave Macmillan Aug 2022, 2022
ISBN 10: 3031154436
ISBN 13: 9783031154430
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch. Codice articolo 9783031154430
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen - . (Lecture Notes in Networks and Systems, 533)
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen - . (Lecture Notes in Networks and Systems, 533)
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