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8

ESANN
2004

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Clustering functional data with the SOM algorithm

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Clustering functional data with the SOM algorithm

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Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by approximating a theoretical SOM on functions thanks to basis expansion. We illustrate the proposed method on real world spectrometric data for which functional preprocessing is very successful.

Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2004
Where	ESANN
Authors	Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Golli

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