Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen / Proceedi

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen / Proceedi

Faigl, Jan
Olteanu, Madalina
Drchal, Jan

Paperback

Series: Lecture Notes in Networks and Systems, Book 533

Technology & EngineeringGeneral Computers

ISBN10: 3031154436
ISBN13: 9783031154430
Publisher: Springer Nature
Published: Aug 27 2022
Pages: 119
Weight: 0.43
Height: 0.28 Width: 6.14 Depth: 9.21
Language: English

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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