Abstract
In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.
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Lagus, K. et al. (2013). Paths of Wellbeing on Self-Organizing Maps. In: Estévez, P., Príncipe, J., Zegers, P. (eds) Advances in Self-Organizing Maps. Advances in Intelligent Systems and Computing, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35230-0_35
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DOI: https://doi.org/10.1007/978-3-642-35230-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35229-4
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