Comments (4)
Ah, now I understand. The algorithm is interesting, but, as they note at the end, isn't really faster that SVD, so since the solution is the same we shouldn't expect anything different. It would be a sensible alternative algorithm that we could invoke when brute-force SVD is too costly, which would be interesting to have as a fallback in the long run. I think that in favorable cases, it seems, the new algorithm is faster.
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@fwmeng88 is this different from:
#42
and
#16
It seems to be attempting something similar, but I didn't read the paper in detail.
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I don't think the method proposed in this paper is related to #42 and #16. They provided an alternative way to solve rotational Procrustes problem 2D and 3D without doing SVD. page 17-28 in https://arxiv.org/pdf/1908.08824.pdf
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Thanks for the clarification!
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Related Issues (20)
- Can't install from pip HOT 3
- Support of missing values for generalized Procrustes analysis
- L-1 procrustes HOT 10
- Installing with pip according to instructions does not work HOT 5
- Molecular Structure Distance HOT 1
- Non square data in softassign function - cannot reshape array HOT 4
- Web Site HOT 2
- Would be nice to have the used scaling and translation returned in the answer HOT 9
- Add support of 1D, 2D and 3D molecular structures HOT 3
- translation, scling, weighting for positive semi-definite Procrustes problem HOT 2
- Deprecated `pinv2` function in `scipy.linalg` HOT 2
- Update the summary table when #98 is done
- Failing testing, `test_psdp_woodgate_non_full_rank` HOT 11
- More algorithms on `PSDP` HOT 18
- Another round of code review for GSoC HOT 1
- pinv2 deprecated HOT 12
- Support Weight Matrices
- One-Sided Procrustes for Toeplitz matrices HOT 5
- positive semi-definite Procrustes problem HOT 6
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