A hybrid PCA-LDA model for dimension reduction

Several variants of Linear Discriminant Analysis (LDA) have been investigated to address the vanishing of the within-class scatter under projection to a low-dimensional subspace in LDA. However, some of these proposals are ad hoc and some others do not address the problem of generalization to new data. Meanwhile, even though LDA is preferred in many application of dimension reduction, it does not always outperform Principal Component Analysis...