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Topic: Principal Component Analysis Alternatives for low sample to
dimensions ratio

Replies: 5   Last Post: Apr 11, 2013 11:26 PM

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Hosley

Posts: 69
Registered: 3/8/07
Principal Component Analysis Alternatives for low sample to
dimensions ratio

Posted: Apr 10, 2013 11:44 PM
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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



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