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 <[EMAIL PROTECTED]> wrote:
Hi, You have everything you need for PCA in numpy.linalg. Matthieu 2007/6/21, Alex Torquato S. Carneiro <[EMAIL PROTECTED] >: > > 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. > > > ------------------------------ > Novo Yahoo! Cadê? <http://yahoo.com.br/oqueeuganhocomisso+> - > Experimente uma nova busca. > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
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