[SciPy-User] scipy.interpolate.rbf sensitive to input noise ?
Tue Feb 23 11:46:59 CST 2010
On Tue, Feb 23, 2010 at 11:43, denis <firstname.lastname@example.org> wrote:
> Robert, Josef,
> thanks much for taking the time to look at RBF some more.
> Summary, correct me:
> A - smooth*I in rbf.py is a sign error (ticket ?)
Not necessarily. It seems to work well in at least some cases. Find a
reference that says otherwise if you want it changed.
> for gauss, start with A + 1e-6*I to move eigenvalues away from 0
> others have pos/neg eigenvalues, don't need smooth.
No. If you need a smoothed approximation to noisy data rather than
exact interpolation than you use the smooth keyword. Otherwise, you
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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