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From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: Image Classification Based on Data Reduction.
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Date: Tue, 7 May 1996 20:33:24 GMT
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In article <DqzBBC.623@bcstec.ca.boeing.com>, Mike Fouche <mikef@hsvaic.hv.boeing.com> writes:
|> ...
|> We haven't used PCA but we have used SVD, wavelets, and FFTs as filters 
|> or pre-processors for image processing.  ...
|> One last comment - SVD works
|> so the best (so far) in terms of it's ability to extract the target 
|> features.

SVD is one of numerous computational methods for PCA. Center or
standardize the data, apply SVD, and you've got principal components.

-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
