Self-organizing maps and symbolic data

Aïcha El Golli (1) , Brieuc Conan-Guez (1) , Fabrice Rossi (1)

1 AxIS - Usage-centered design, analysis and improvement of information systems

In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data, ...). In this context classical data analysis for knowledge discovery based on calculating the center of gravity can not be used because input are not $\mathbb{R}^p$ vectors. In this paper, we present an application on real world symbolic data using the self-organizing map. To this end, we propose an extension of the self-organizing map that can handle symbolic data.

Mots clés: Classification; Self organizing map; symbolic data; dissimilarity

Domaines: Réseau de neurones [cs.NE]; Apprentissage [cs.LG]

Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi. Self-organizing maps and symbolic data. Journal of Symbolic Data Analysis, 2004, 2 (1). ⟨inria-00174274⟩