[SciPy-User] scipy.interpolate.rbf sensitive to input noise ?
Tue Feb 23 11:59:56 CST 2010
On Tue, Feb 23, 2010 at 12:57 PM, <firstname.lastname@example.org> wrote:
> On Tue, Feb 23, 2010 at 12:46 PM, Robert Kern <email@example.com> wrote:
>> 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.
> chapter 2 page 16, for gaussian process. As I said I don't know about
> the other methods
google links are very short, missed a part
>>> 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
>> SciPy-User mailing list
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