Abstract
(1996) provide a new perspective on the traditional biplot of (1971) by viewing biplots as multivariate analogues of ordinary scatterplots. It is demonstrated by (2001) that extending biplot methodology to discriminant analysis is not only extremely useful for visual displays to accompany discriminant analysis but how the process of classification can be performed using biplot methodology. In particular, a method developed for the inclusion of categorical predictors is discussed. Specific attention is devoted to what is termed a ‘reversal’ when dealing with two binary (categorical) predictor variables. A proposal using biplot methodology is made for dealing with this problem.
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Gardner, S., Roux, N.l. (2003). Discriminant Analysis With Categorical Variables: A Biplot Based Approach. In: Schader, M., Gaul, W., Vichi, M. (eds) Between Data Science and Applied Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18991-3_4
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DOI: https://doi.org/10.1007/978-3-642-18991-3_4
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