Principal symmetric space analysis

Stephen R Marsland, Robert I McLachlan, Charles Curry

We develop a novel analogue of Euclidean PCA (principal component analysis) for data taking values on a Riemannian symmetric space, using totally geodesic submanifolds as approxima…