Machine Learning.
consider the eigenvalue estimation error → IPCA and CCIPCA are a very good choice. (perturbation approach is not good at all) → the learning rate is a very important hyper-parameter → the whole method either can converge or diverge due to this. Missing data → when we have some missing data → IPCA