Rotation in Correspondence Analysis |
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Authors: | Michel van de Velden Henk AL Kiers |
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Institution: | (1) Erasmus University, Rotterdam and University of Groningen, Groningen, The Netherlands;(2) University of Groningen, Groningen, The Netherlands |
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Abstract: | In correspondence analysis rows and columns of a nonnegative data matrix are
depicted as points in a, usually, two-dimensional plot. Although such a two-dimensional
plot often provides a reasonable approximation, the situation can occur that an approximation
of higher dimensionality is required. This is especially the case when the data
matrix is large. In such instances it may become difficult to interpret the solution. Similar
to what is done in principal component analysis and factor analysis the correspondence
analysis solution can be rotated to increase the interpretability. However, due to the various
scaling options encountered in correspondence analysis, there are several alternative
options for rotating the solutions. In this paper we consider two options for rotation in
correspondence analysis. An example is provided so that the benefits of rotation become
apparent. |
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