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In discriminant analysis the multivariate observations are divided into g groups the membership of which is assumed known without error. The purpose of the analysis is to develop a rule for the allocation of a new observation of unknown origin to the most likely group. For example, in the case of the Swiss bank notes there are two groups, genuine notes and forgeries. The purpose of the analysis would be to develop a rule for determining whether or not a new note was genuine.
KeywordsDiscriminant Analysis Muscular Dystrophy Linear Discriminant Analysis Mahalanobis Distance Canonical Variate
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