SOMson -- Sonification of Multidimensional Data in Kohonen Maps

Fuente: arXiv
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Hauptverfasser: Linke, Simon, Ziemer, Tim
Format: Preprint
Veröffentlicht: 2024
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author Linke, Simon
Ziemer, Tim
author_facet Linke, Simon
Ziemer, Tim
contents Kohonen Maps, aka. Self-organizing maps (SOMs) are neural networks that visualize a high-dimensional feature space on a low-dimensional map. While SOMs are an excellent tool for data examination and exploration, they inherently cause a loss of detail. Visualizations of the underlying data do not integrate well and, therefore, fail to provide an overall picture. Consequently, we suggest SOMson, an interactive sonification of the underlying data, as a data augmentation technique. The sonification increases the amount of information provided simultaneously by the SOM. Instead of a user study, we present an interactive online example, so readers can explore SOMson themselves. Its strengths, weaknesses, and prospects are discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00016
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SOMson -- Sonification of Multidimensional Data in Kohonen Maps
Linke, Simon
Ziemer, Tim
Human-Computer Interaction
Machine Learning
68T07 (Primary), 97P80, 97U80 (Secondary)
I.2; I.5
Kohonen Maps, aka. Self-organizing maps (SOMs) are neural networks that visualize a high-dimensional feature space on a low-dimensional map. While SOMs are an excellent tool for data examination and exploration, they inherently cause a loss of detail. Visualizations of the underlying data do not integrate well and, therefore, fail to provide an overall picture. Consequently, we suggest SOMson, an interactive sonification of the underlying data, as a data augmentation technique. The sonification increases the amount of information provided simultaneously by the SOM. Instead of a user study, we present an interactive online example, so readers can explore SOMson themselves. Its strengths, weaknesses, and prospects are discussed.
title SOMson -- Sonification of Multidimensional Data in Kohonen Maps
topic Human-Computer Interaction
Machine Learning
68T07 (Primary), 97P80, 97U80 (Secondary)
I.2; I.5
url https://arxiv.org/abs/2404.00016