
Re: Principal Component Analysis Alternatives for low sample to dimensions ratio
Posted:
Apr 11, 2013 11:26 PM


On Apr 10, 8:44 pm, Krevin <kbro...@gmail.com> wrote: > Anyone know of good alternative methods to PCA when you have too many > dimensions compared to samples? > > If I have 2000 variables and 300 samples, I cannot properly use PCA. > > I'm looking for something that can minimize false positive separation > of sample points without needing to reduce my number of variables. > > Thanks, > Krevin
There is a variant of Partial Least Squares that does Structural Equation Modeling that probably could be adapted to look like PCA. See http://users.stat.umn.edu/~sandy/courses/8801/articles/pls.pdf

