[SciPy-User] scipy.interpolate.rbf sensitive to input noise ?
Tue Feb 23 11:57:58 CST 2010
On Tue, Feb 23, 2010 at 12:46 PM, Robert Kern <firstname.lastname@example.org> wrote:
> On Tue, Feb 23, 2010 at 11:43, denis <email@example.com> 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.
chapter 2 page 16, for gaussian process. As I said I don't know about
the other methods
>> 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
> Robert Kern
> "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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