Self Organizing Star (SOS) for health monitoring

Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille

hal-00446594, version 1

Self Organizing Star (SOS) for health monitoring

Etienne Côme () ¹, Marie Cottrell () ¹, Michel Verleysen () ^1, 2, Jérôme Lacaille ³

European conference on artificial neural networks, (2010) 99-104

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 topologies 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.

1: Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM)
Université Paris I - Panthéon-Sorbonne
2: MachineLearning Group - DICE (DICE)
Université Catholique de Louvain (UCL) - Belgique
3: SNECMA Villaroche [Moissy-Cramayel]
Safran Group

hal-00446594, version 1
http://hal.archives-ouvertes.fr/hal-00446594
oai:hal.archives-ouvertes.fr:hal-00446594
From: Etienne Côme <>
Submitted on: Wednesday, 13 January 2010 11:28:40
Updated on: Monday, 23 January 2012 17:03:42

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