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 Drchal

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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

By: Jan Drchal (Editor), Madalina Olteanu (Editor), Jan Faigl (Editor)

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Paperback | 27 August 2022

At a Glance

Paperback
132 Pages

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23.5 x 15.5 x 0.71

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$249.00

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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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