Except last I checked numpy.linalg doesn't have an efficient method for retrieving only a few PCA components. So yeh, you can do PCA but it will be *really* slow on most of the types of problems that PCA is usually used for. You need something like an ARPACK wrapper, which I think they have in the scipy.sandbox.
--bb
On 6/25/07, Matthieu Brucher matthieu.brucher@gmail.com wrote:
Hi,
You have everything you need for PCA in numpy.linalg.
Matthieu
2007/6/21, Alex Torquato S. Carneiro <archsheep@yahoo.com.br >:
I'm doing some projects in Python (system GNU / Linux - Ubuntu 7.0) about image processing. I'm needing a implementation of PCA, prefer to library for apt-get.
Thanks. Alex.
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