Abstract
Correspondence analysis (CA) is a descriptive method which allows us to analyze and to XploRe the structure of contingency tables (or, by extension, non-negative tables where rows and columns are the entities of interest). It is similar to principal component analysis (PCA) in the sense that it attempts to obtain a representation of either the I row items or the J column items in a low dimensional space, while preserving at best total variation in the table.
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Benko, M., Lejeune, M. (2000). Correspondence Analysis. In: XploRe® — Application Guide. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57292-0_13
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DOI: https://doi.org/10.1007/978-3-642-57292-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67545-7
Online ISBN: 978-3-642-57292-0
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