Abstract
The description, classification and “ measurement ” of living conditions present many difficulties. A very important one comes from the qualitative nature of the data, and the large number of characteristics that may be taken into account. For this reason, it is difficult to obtain a description that could give an overall view of the arrangements between the modalities, and be usable to breakdown the observations into a reasonable number of classes. In this paper, we propose several examples of the use of neural network techniques, precisely the Kohonen algorithm, to classify a population of households according to their characteristics in terms of living conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cottrell, M. & Ibbou, S. (1995): Multiple correspondence analysis of a crosstabulation matrix using the Kohonen algorithm, Proc. ESANN’95, M. Verleysen Ed., Editions D Facto, Bruxelles, 27–32.
Cottrell, M., Fort, J.C. & Pagès, G. (1998): Theoretical aspects of the SOM Algorithm, Neurocomputing, 21, p. 119–138.
Cottrell, M. & Rousset, P. (1997): The Kohonen algorithm: a powerful tool for analysing and representing multidimensional quantitative et qualitative data, Proc. IWANN’97, Lanzarote.
Dickes, P (1994), Ressources financières, bien-être subjectif et conditions d’existence, in F. Bouchayer (ed.) Trajectoires sociales et inégalités, Eres.
Kaski, S. (1997): Data Exploration Using Self-Organizing Maps, Acta Polytechnica Scandinavia, 82.
Kohonen, T. (1984,1993): Self-organization and Associative Memory, 30ed., Springer.
Kohonen, T. (1995): Self-Organizing Maps, Springer Series in Information Sciences Vol 30, Springer.
Lollivier, S & Verger, D (1997), Pauvreté d’existence, monétaire ou subjective sont distinctes, Economie & statistique no308/309/310 «Mesurer la pauvreté aujourd’hui».
Mack, J & Lansley, S (1984), Poor Britain, Allen & Unwin.
Mayer, S.E & Jencks, C (1989), Poverty and the distribution of material hardship, Journal of Human Resources vol.24.
Townsend, P (1989): Deprivation, Journal of Social Policy, vol.16.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ponthieux, S., Cottrell, M. (2001). Neural Classification and « Traditional » Data Analysis: An Application to Households’ Living Conditions. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_89
Download citation
DOI: https://doi.org/10.1007/3-540-45723-2_89
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42237-2
Online ISBN: 978-3-540-45723-7
eBook Packages: Springer Book Archive