The Importance of Geometry in MultivariateAnalysis and some Applications
نویسنده
چکیده
Geometrical concepts, including distance functions between observations , geometric variabilities and proximity functions, are used to develop some new aspects of multivariate analysis. These include the innuence of principal components in comparing populations, the detection of atypical observations in discrimination with mixed variables, and the construction of orthogonal expansions for a continuous random variable. Some illustrations are given using two well-known data sets.
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