On Wed, Jan 18, 2012 at 11:53:01PM +0100, Andreas wrote: > > Factor analysis is a decomposition with a particular > > assumption about the noise.
> > See Bishop page 583 > For a bit more detail: > The idea is that the data is a linear transform of some > underlying, lower dimensional data plus some diagonal Gaussian noise. > This is essential a slight generalization of probabilistic PCA, > which has the same model but the Gaussian noise is assumed to be isotropic. I don't have the Bishop, and I must confess that I am still confused by the Wikipedia. That said, it doesn't really matter. As long as people feel confident that it is well defined and useful, it belongs to the scikit, and I am all for it :). Gael ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
