Discriminant analysis, including linear discriminant analysis (LDA) and quadratic (QDA), is a popular approach to classification problems. It well known that LDA suboptimal analyze heteroscedastic data, for which QDA would be an ideal tool. However, less helpful when the number of features in data set moderate or high, its variants often perform better due their robustness against dimensionalit...
