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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: proceedings of the 13th International Workshop, WSOM+ 2019: Barcelona, Spain, June 26-28, 2019

Type of activity
Book
Publisher
Springer
Date of publication
2020
ISBN
978-3-030-19641-7 Open in new window
DOI
10.1007/978-3-030-19642-4
URL
https://link.springer.com/book/10.1007/978-3-030-19642-4 Open in new window
Abstract
This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization...
Keywords
Computational Intelligence, Data visualization, Intelligent systems, LVQ, Learning vector quantization, SOM, Self-organizing maps, WSOM, WSOM 2019
Group of research
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group
SOCO - Soft Computing

Participants