Grung and Manne [9] studied the EM-like algorithm for PCA
in the case of missing values. In the E-step,
is fixed and
is solved
as a least squares problem. In the M-step,
is fixed and
is solved again as a least squares problem. Computations are a lot
heavier than in the fully observed case, but still, experiments in
[9] showed a faster convergence compared to the iterative
imputation algorithm.