Abstract
Correspondence analysis (CA) is a method for graphical presentation of two-way data tables. We consider the following problem: how can CA be applied in a particular case when the data consists of incomplete orderings. As an example of this kind of data we refer to a contest where each member of the jury allocates ranks 1,2, …, k only to k “best” candidates (out of n). In order to apply CA for such data a restricted iterative proportional fitting procedure is proposed to modify the initial table of ranks by imputing nonzero numbers to cells that were not among the k best cells. We demonstrate the work of the method via a practical example.
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© 2003 Springer-Verlag Berlin Heidelberg
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Pärna, K. (2003). On Correspondence Analysis of Incomplete Orderings. 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_38
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DOI: https://doi.org/10.1007/978-3-642-18991-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40354-8
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