How to use the Kohonen algorithm to simultaneously analyse individuals in a survey - Université Paris 1 Panthéon-Sorbonne Accéder directement au contenu
Article Dans Une Revue Neurocomputing Année : 2005

How to use the Kohonen algorithm to simultaneously analyse individuals in a survey

Résumé

The Kohonen algorithm (SOM, Kohonen,1984, 1995) is a very powerful tool for data analysis. It was originally designed to model organized connections between some biological neural networks. It was also immediately considered as a very good algorithm to realize vectorial quantization, and at the same time pertinent classification, with nice properties for visualization. If the individuals are described by quantitative variables (ratios, frequencies, measurements, amounts, etc.), the straightforward application of the original algorithm leads to build code vectors and to associate to each of them the class of all the individuals which are more similar to this code-vector than to the others. But, in case of individuals described by categorical (qualitative) variables having a finite number of modalities (like in a survey), it is necessary to define a specific algorithm. In this paper, we present a new algorithm inspired by the SOM algorithm, which provides a simultaneous classification of the individuals and of their modalities.
Fichier principal
Vignette du fichier
Qualit_2004_final.pdf (89.34 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-00107984 , version 1 (19-10-2006)

Identifiants

Citer

Marie Cottrell, Patrick Letrémy. How to use the Kohonen algorithm to simultaneously analyse individuals in a survey. Neurocomputing, 2005, 63, pp.193-207. ⟨10.1016/j.neucom.2004.04.011⟩. ⟨hal-00107984⟩
112 Consultations
141 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More