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Fisher's Linear Discriminant Analysis (FLDA) uses the parametric form of the scatter matrix which is based on the Gaussian distribution assumption, and requires the scatter matrices to be nonsingular, which can not always be satisfied. To overcome this problem, many scholars have recently proposed Non-parametric Discriminant Analysis (NPDA), addressing the non-Gaussian aspects of sample distributions...
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