Abstract
Just as there are many algebraic generalisations of simple hivariate correspondence analysis to the multivariate case, so there are many possible generalisations of the geometric interpretation. A number of different approaches are presented and compared, including the geometry based on chi-squared distances between profiles (techniques illustrated: joint correspondence analysis and Procrustes analysis), the interpretation of scalar products between variables (biplot), and the barycentric property (homogeneity analysis and unfolding).
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© 1993 Springer-Verlag Berlin · Heidelberg
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Greenacre, M.J. (1993). Different Geometric Approaches to Correspondence Analysis of Multivariate Data. In: Opitz, O., Lausen, B., Klar, R. (eds) Information and Classification. Studies in Classification, Data Analysis and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-50974-2_19
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DOI: https://doi.org/10.1007/978-3-642-50974-2_19
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