Global ETD Search

Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization

Lorenz, Florian M.University of Illinois at Urbana-Champaign2010

… Another method originating in psychometrics is sequentially-fit factor analysis (SEFIT). SEFIT was used to provide faster solutions to NMF, using both alternating least squares (ALS) with zero-substitution of negative values and NNLS. In a simulation using SEFIT for NMF, differences in fit …

uiuc Repository record for Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization (opens in a new tab)