note
jeroenes
I see what you mean.<p>
Want to clarify a bit, though, as I didn't say that principal
components analysis was a good analogy. I rather said
coding should accomplish the <b>opposite</b>, that is
spreading to information into the functions, dividing it
equally among them.
<p>
However stated, the analogy goes wrong because with principal
components we talk about orthogonal vectors in space, while
with programming we have hierarchial functions.
These create a subspace of each own, and you just can not
do a PCA on different subspaces. Is that what you more or less
ment, [tilly]?
<p>
<hr>
/me notes with a smile in his face how everyone approaches
PCA from its own angle...., [Masem] from the chemical spectra
point of view, [tilly] from a encoding point of view while
I think more in pattern deviation scemes.
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