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Re: Interpolation on scattered data
From: |
Juan Pablo Carbajal |
Subject: |
Re: Interpolation on scattered data |
Date: |
Sun, 15 Mar 2020 22:27:14 +0100 |
If you do not have too many points (< 1000) you can use mesh-less
methods. they are known with many names, maongst th emost ppopular:
Gaussian processes (include the radial basis functions) or krigging.
See if regress_gp in the statistics package[1] solves your problem, if
not try the stk package[2] or gpml[3]
[1]: https://octave.sourceforge.io/statistics/function/regress_gp.html
[2]: https://octave.sourceforge.io/stk/
[3]: https://gitlab.com/hnickisch/gpml-matlab/-/releases
- Interpolation on scattered data, Nicklas Karlsson, 2020/03/12
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/13
- Re: Interpolation on scattered data,
Juan Pablo Carbajal <=
- Re: Interpolation on scattered data, Augustin Lefèvre, 2020/03/16
- Re: Interpolation on scattered data, Nicklas Karlsson, 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Re: Interpolation on scattered data, Francesco Potortì, 2020/03/23
- Re: Interpolation on scattered data, Nicklas Karlsson, 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Message not available
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Re: Interpolation on scattered data, c., 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Fwd: Interpolation on scattered data, Nicklas Karlsson, 2020/03/24