Metric scaling graphical representation of categorical data
نویسندگان
چکیده
Metric Scaling is a well{known method to represent a nite set with respect to a given Euclidean distance matrix. Several methods to represent rows and columns of a two{way contingency table are available: Correspondence Analysis, Dual Scaling, Canonical Coordinates, etc. We show that metric scaling provides a similar representation by using Hellinger or Rao distances together with Gower's add{a{point formula and discuss its relationship with the other approaches. The present approach suggests an alternative to Multiple Correspondence Analysis for multivariate categorical data.
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