Bayesian Variable Selection for Globally Sparse Probabilistic PCA

Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei

Sparse versions of principal component analysis (PCA) have imposed themselves as simple, yet powerful ways of selecting relevant features of high-dimensional data in an unsupervise…