How is the performance of Fischer projection compared to other LDA methods of dimension reduction? I thought that Fischer projection was a great method of dimension reduction by maximizing class separation, but when I looked at the LDA methods in scikit learn, Fischer projection wasn't even in the list. This got me thinking, is it any good compared to the other methods out there?
Edit (answer): My bad, they are the same. Fischer projection is a 2 class special case of LDA. Projection using LDA can be performed using the fit_transform and transform methods in sklearn