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From: Mike Fouche <mikef@hsvaic.hv.boeing.com>
Subject: Re: Image Classification Based on Data Reduction.
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saswss@hotellng.unx.sas.com (Warren Sarle) wrote:
>

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

Well I gotta tell ya I always learn something new here.  I was under
the impression that PCA was a type of filtering like SVD.  What you're
saying is that whatever one uses to partition the problem into principal
elements is PCA (sorta like finding the principal axes of inertia for a
spacecraft?).

Thanks for the clearing this up!

Mike Fouche

