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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
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
Abstract : 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.
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https://hal.inria.fr/inria-00174274
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Submitted on : Saturday, September 22, 2007 - 4:32:04 PM
Last modification on : Monday, April 6, 2020 - 3:32:19 PM
Long-term archiving on: : Friday, April 9, 2010 - 2:40:46 AM

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  • HAL Id : inria-00174274, version 1
  • ARXIV : 0709.3587

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

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