Multidimensional Dependencies in Classi cation and Ordination
نویسنده
چکیده
The relations between two distance matrices on the same nite set are analyzed via metric scaling by correlating principal axis Some applications are given and illustrated with examples Introduction Dissimilarities similarities and distances are fundamental concepts in mul tidimensional scaling and related topics Euclidean and Mahalanobis dis tance also play a basic role in techniques such as regression and discrim ination In many cases distances are computed by observing variables on individuals but in general the dependence between variables is not taken into account Mahalanobis and its extension Rao s distance is an impor tant exception This distance between two observations x y say
منابع مشابه
1Multidimensional Dependencies in Classi cation and Ordination
1 ABSTRACT The relations between two distance matrices on the same nite set are analyzed, via metric scaling, by correlating principal axis. Some applications are given and illustrated with examples. 1.1 Introduction Dissimilarities, similarities and distances are fundamental concepts in mul-tidimensional scaling and related topics. Euclidean and Mahalanobis distance also play a basic role in t...
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