Self Organizing Star (SOS) for health monitoring
(2010) 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) — Location: Bruges (Belgium) (28.April.2010)
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- Authors
- Abstract
- Self Organizing Maps (SOM) have been successfully applied in a lot of real world hard problems since their apparition. In this paper we present new topologie for SOM based on a planar graph. The design of a specific graph to encode prior information on the dataset topology is the central question addressed in this paper. In this context, star-shaped graphs are advocated for health monitoring applications, leading to a new kind of SOM that we denote by Self Organizing Star (SOS). Experiments using aircraft engine measurements show that SOS lead to meaningful and natural dataset representation.
- Affiliations
Université Paris 1 Groupe Safran SNECMA
Citations
Côme, E., Cottrell, M., Verleysen, M., & Lacaille, J. (2010). Self Organizing Star (SOS) for health monitoring. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), p. 99-104. https://hdl.handle.net/2078.5/254132