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

Language: English

Published by Springer, Palgrave Macmillan Aug 2022, 2022

3031154436 / 9783031154430

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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.

Seller Inventory # 9783031154430

Title
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Author
Jan Faigl
Publisher
Springer, Palgrave Macmillan Aug 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031154436
ISBN 13
9783031154430
Item weight
213 grams
Dimensions
235x155x8 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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