Latent structureDimensionality reduction

Correspondence Analysis

Correspondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Paul Benzécri in France during the 1960s–1970s and brought to an English-language audience by Michael Greenacre in 1984, CA decomposes the chi-square statistic of a cross-tabulation to produce a low-dimensional joint display — called a biplot — in which rows and columns are represented as points whose proximities reflect their associations.

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Sources

  1. Greenacre, M. J. (1984). Theory and Applications of Correspondence Analysis. Academic Press. ISBN: 978-0-12-299050-2

Related methods

Referenced by

ScholarGateCorrespondence Analysis (Correspondence Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/correspondence-analysis