Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Couverture souple

9783031154430: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

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ISBN 10 : 3031154436 ISBN 13 : 9783031154430

Editeur : Springer, 2022

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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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�diteur: Springer
Date d'�dition: 2022
Langue: anglais
ISBN 10: 3031154436
ISBN 13: 9783031154430
Reliure: Broch�
Num�ro d'�dition: 1
Nombre de pages: 132
�diteur: Faigl Jan, Olteanu Madalina, Drchal Jan
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (Lecture Notes in Networks and Systems)

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ISBN 10 : 3031154436 ISBN 13 : 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

Jan Faigl

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ISBN 10 : 3031154436 ISBN 13 : 9783031154430

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Taschenbuch. Etat : Neu. Druck auf Anfrage 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. N� de r�f. du vendeur 9783031154430

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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

Jan Faigl

Edit� par Springer International Publishing Aug 2022, 2022

ISBN 10 : 3031154436 ISBN 13 : 9783031154430

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783031154430

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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

Jan Faigl

Edit� par Springer International Publishing, Springer International Publishing Aug 2022, 2022

ISBN 10 : 3031154436 ISBN 13 : 9783031154430

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. N� de r�f. du vendeur 9783031154430

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