Références : articles, sites internet et tutoriels
A propos du package FactoMineR
Husson, F., Josse, J. & Lê, S. (2008). FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software. 25(1). pp. 1-18.
A propos de l'AFM:
- Jérôme Pagès. Multiple Factor Analysis: main features and application to sensory data
- Jérôme Pagès. Multiple Factor Analysis presentation (français)
- Abdi, H., & Valentin, D. (2007). Multiple Factor Analysis. In N.J. Salkind (Ed.): Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage. pp. 657-663.
- Marie de Tayrac, Sébastien Lê, Marc Aubry, François Husson, and Jean Mosser (2009).Integrating "omics" data sets and biological knowledge: Multiple Factor Analysis as a powerful strategy. BMC Genomics 2009, 10:32
A propos de la classification ascendante hiérarchique
Husson, F., Josse, J. & Pagès J. (2010). Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?. Technical report.
Tutoriels:
Bibliographie
Articles
Josse, J., Pagès, J. & Husson F. (2008) Testing the significance of the RV coefficient. Computational Statististics and Data Analysis. 53 pp. 82-91.
Livres
Benzécri J.P. (1992). Correspondence Analysis Handbook. (Transl : T.K. Gopalan) Marcel Dekker, New York.
Escofier B. & Pagès J. (2008). Analyses Factorielles Simples et Multiples: Objectifs, Méthodes et Interprétation. Dunod, 4th edn, Paris.
Govaert, G. (2009). Data Analysis. Wiley-ISTE
Greenacre, M.J.. (2007). Correspondence analysis in practice. Chapman & Hall/CRC.
Greenacre, M.J. and Blasius, J. (2006). Multiple correspondence analysis and related methods. Chapman & Hall/CRC.
Greenacre M. (1984). Theory and applications of correspondence analysis. Acadamic Press.
Hartigan J. (1975). Clustering algorithms. Wiley, New-York.
Husson F., Lê S., Pagès J. (2011). Analyse de données avec R. Presses Universitaires de Rennes.
Jolliffe I. (2002). Principal Component Analysis. Springer. 2nd edn.
Kaufman L. & Rousseeuw P. (1990). Finding groups in data. An introduction to cluster analysis. Wiley and sons, Inc. New-York.
Le Roux B. & Rouanet H. (2004). Geometric Data Analysis, From Correspondence Analysis to Structured Data Analysis. Dordrecht: Kluwer.
Lebart L., Morineau A. & Warwick K. (1984). Multivariate descriptive statistical analysis. Wiley, New-York.
Lebart L., Piron M. & Morineau A. (2006). Statistique exploratoire multidimensionnelle: visualisation et inférence en fouilles de données. Dunod, 4th edn, Paris.
Mirkin B. (2005). Clustering For Data Mining: A Data Recovery Approac. Chapman & Hall/CRC.
Murtagh F. (1985). Multidimensional Clustering Algorithms. Vienna: Physica-Verlag, COMPSTAT Lectures.
Murtagh F. (2005). Correspondence Analysis and Data Coding with R and Java. Chapman & Hall/CRC.