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Improved LDA Classifier Based on Spiked Models
Linear discriminant analysis (LDA) is a popular technique for classification that is built on the assumption that data follow a Gaussian mixture model with a common covariance matrix. A major challenge towards the use of LDA in practice is that the classifier depends on the mean parameters and the inverse …