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Recently, O. C. Hamsici points out that, LDA's linear approximation deviates from the original intention of minimizing the Bayes errors, and proposes the Bayes optimality based linear discriminant method. However, the cumulative distribution function employed by their method incurs numerous possible sequences when projected to the 1-dimensional subspace, and moreover, the covariance whiten scheme...
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