Globally Sparse Probabilistic PCA

Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche

Abstract: With the flourishing development of high-dimensional data, sparse versions of principal component analysis (PCA) have imposed themselves as simple, yet powerful ways of selecting relevant features ...