Principal Component Analysis for Large Scale Problems with Lots of Missing Values

Reference:

Tapani Raiko, Alexander Ilin, and Juha Karhunen. Principal component analysis for large scale problems with lots of missing values. In Proceedings of the 18th European Conference on Machine Learning (ECML 2007), volume 4701 of Lecture Notes in Artificial Intelligence, pages 691–698, Warsaw, Poland, September 2007. Springer-Verlag, Berlin.

Suggested BibTeX entry:

@inproceedings{Raiko07ECML,
    address = {Warsaw, Poland},
    author = {Tapani Raiko and Alexander Ilin and Juha Karhunen},
    booktitle = {Proceedings of the 18th European Conference on Machine Learning (ECML 2007)},
    month = {September},
    pages = {691--698},
    publisher = {Springer-Verlag, Berlin},
    series = {Lecture Notes in Artificial Intelligence},
    title = {Principal Component Analysis for Large Scale Problems with Lots of Missing Values},
    volume = {4701},
    year = {2007},
}