£105.03

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£105 today · all-time low £105 (Sep 2026) · usually £105

Springer Advances in Self-Organizing Maps - WSOM+ 2019 Proceedings

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Description

This comprehensive volume collects papers from the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), held in Barcelona, Spain from 26-28 June 2019. Part of Springer's Advances in Intelligent Systems and Computing series, this book presents cutting-edge research in unsupervised machine learning methods, featuring theoretical advances and practical applications of self-organizing map technology and related clustering techniques. Since its inception in 1997, the WSOM+ conference has established itself as the premier venue for researchers exploring SOM methodologies, learning vector quantization approaches, and innovative data visualisation strategies. This proceedings volume delivers essential contributions from leading experts in the field, making it an invaluable resource for researchers, academics and practitioners working in machine learning, data analysis and artificial intelligence applications.

Key Features

Papers from the 13th International Workshop (WSOM+ 2019) presenting latest research in self-organizing maps and unsupervised learning methods.

Springer publication covering theoretical advances in SOM, LVQ, clustering and data visualization techniques for machine learning applications.

Conference proceedings from Barcelona, June 2019 featuring contributions from leading researchers in AI and intelligent systems.

Part of the Advances in Intelligent Systems and Computing series, volume 976, providing peer-reviewed content on neural computing and data analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 April 2019
Listed Since
04 April 2019

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