Principal Component Analysis for Sparse High-Dimensional Data

Reference:

Tapani Raiko, Alexander Ilin, and Juha Karhunen. Principal component analysis for sparse high-dimensional data. In Proc. of the 14th Int. Conf. on Neural Information Processing (ICONIP 2007), volume 4985 of Lecture Notes in Computer Science, pages 566–575, Kitakyushu, Japan, 2008. Springer-Verlag, Berlin.

Suggested BibTeX entry:

@inproceedings{Raiko07ICONIP,
    address = {Kitakyushu, Japan},
    author = {Tapani Raiko and Alexander Ilin and Juha Karhunen},
    booktitle = {Proc. of the 14th Int. Conf. on Neural Information Processing (ICONIP 2007)},
    pages = {566--575},
    publisher = {Springer-Verlag, Berlin},
    series = {Lecture Notes in Computer Science},
    title = {Principal Component Analysis for Sparse High-Dimensional Data},
    volume = {4985},
    year = {2008},
}