Skip to Main content Skip to Navigation
Conference papers

About the selection of the number of components in correspondence analysis

Gilbert Saporta 1 Narcisa Tambrea
1 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : Selecting the right number of axes in correspondence analysis is usually done by using empirical criteria such as :-detection of an inflexion in the diagram of eigenvalues-getting an arbitrary amount of the cumulated percentage of inertia We examine the application of a chi-square goodness of fit test between the data table and its reconstitution with k eigenvalues. This test which has been proposed by E.Malinvaud, then by E.Andersen and G.Saporta has a good behaviour for frequency tables but fails to apply to multiple correspondence analysis. This failure, however enlightens some properties of this test and of correspondence analysis.
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal-cnam.archives-ouvertes.fr/hal-02514004
Contributor : Gilbert Saporta <>
Submitted on : Saturday, March 21, 2020 - 12:08:44 PM
Last modification on : Wednesday, March 25, 2020 - 1:23:34 AM

File

CRETE.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02514004, version 1

Collections

Citation

Gilbert Saporta, Narcisa Tambrea. About the selection of the number of components in correspondence analysis. ASMDA 1993: 6th International Symposium on Applied Stochastic Models and Data Analysis, May 1993, Chania, Greece. pp.846-856. ⟨hal-02514004⟩

Share

Metrics

Record views

2

Files downloads

3