Hosley
Posts:
69
Registered:
3/8/07


Principal Component Analysis Alternatives for low sample to dimensions ratio
Posted:
Apr 10, 2013 11:44 PM


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

