Arthur G. Wacker

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The measurement dimensionality, which maximizes the average (over possible training sets) probability of correct classification (P,,), is investigated for the equiprobable two-class Gaussian problem with known common covarianee matrix. The Bayes minimum error classification rule, in which the estimated (sample) mean vectors are used in place of the true(More)
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