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 (1st ed. 2022) (Lecture Notes in Networks and Systems #533)
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031154447
- Related ISBNs:
- 9783031154430
- Publisher:
- Springer International Publishing
- Date of Addition:
- 09/27/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Jan Faigl
- Edited by:
- Madalina Olteanu
- Edited by:
- Jan Drchal
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- by Jan Faigl
- by Madalina Olteanu
- by Jan Drchal
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- in Computers and Internet
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