Our books presented in the course section describe the main methods PCA, CA, MCA and clustering.

References: papers and bibliography

How to cite the FactoMineR package?

References on the FactoMineR package

  • Lê, S., Josse, J. & Husson, F. (2008). FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software. 25(1). pp. 1-18.
  • Kostov, B., Bécue-Bertaut, M., Husson, F. (2013). Multiple Factor Analysis for Contingency Tables in FactoMineR Package. R Journal, 5, 28-38.
  • Kostov, B., Bécue-Bertaut, M., Husson F. (2015). Correspondence Analysis on Generalised Aggregated Lexical Tables (CA-GALT) in the FactoMineR Package. R Journal. vol. 7 num. 1. pp. 109-117
  • Josse, J. & Husson, F. (2016). missMDA a package to handle missing values in principal component methods. Journal of Statistical Software, 70(1).

Other papers

on MFA

on Hierarchical Clustering


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.

Husson F., Lê S., Pagès J. (2017). Exploratory Multivariate Analysis by Example Using R. 2nd edition. Chapman & Hall/CRC.

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.

Le Roux B. & Rouanet H. (2004). Multiple Correspondence Analysis. SAGE, Series: Quantitative Applications in the Social Sciences.

Lebart L., Morineau A. & Warwick K. (1984). Multivariate descriptive statistical analysis. Wiley, New-York.

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.

Pagès J. (2015). Multiple Factor Analysis by Example Using R.. Chapman & Hall/CRC. (see more details here)