The other uses of Multidimensional Scaling in
نویسندگان
چکیده
Multidimensional Scaling is a useful tool to represent a nite set in an appropriate graphical display. But MDS can do much more in statistics, classiication and data analysis. It is shown in this contribution that MDS and related methods based on distances provide techniques and solutions to a wide eld of topics: distance based regression with mixed variables and non-linear regression; MDS interpretation of ridge regression; MDS representation of Hoeeding's maximum correlations; representing parametric estimable functions and comparing models in MANOVA; examining principal dimensions of a tree scaled in a Euclidean connguration; MDS representation of a statistical model; distance based approach in discrimination and classiication; MDS representation of a random variable. All these applications show that MDS opens the way to new applications of this method and helps to give us a better understanding of the structure of data.
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