£107.98

Springer Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen / ... (Lecture Notes in Networks and Systems, 533)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 August 2022
Listed Since
21 July 2022

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