Exact probabilities of correct classific
β
D. Krause; W.-D. Richter
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Article
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2004
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Elsevier Science
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English
β 346 KB
Euclidean distance-based classification rules are derived within a certain nonclassical linear model approach and applied to elliptically contoured samples having a density generating function g: Then a geometric measure theoretical method to evaluate exact probabilities of correct classification fo