Linear discriminant analysis

We propose a novel algorithm, called Semisupervised Semi-Riemannian Metric Map (S^3RMM), following the geometric framework of semi- Riemannian manifolds

We propose the linear Laplacian discrimination (LLD) algorithm/or discriminant feature extraction, which is an extension of linear discriminant analysis (LDA). Our motivation is to address the issue that LDA cannot work well in cases where sample spaces are non-Euclidean.