Linear classifier design under heteroscedasticity in Linear Discriminant Analysis

Kojo Sarfo Gyamfi, James Brusey, Andrew Hunt +1

Under normality and homoscedasticity assumptions, Linear Discriminant Analysis (LDA) is known to be optimal in terms of minimising the Bayes error for binary classification. In the…