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| author | Marc Glisse <marc.glisse@inria.fr> | 2019-12-26 18:31:47 +0100 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2019-12-26 18:31:47 +0100 |
| commit | 4922f305b7601d9e5d7eb39c73a88ee53bf1ca87 (patch) | |
| tree | ff8350b79a1a1852ae4160817679672d4ae114e7 /src/python/doc | |
| parent | 56cee2efaa26e734c9555b5b0bb9dfbbc4baaed8 (diff) | |
Update doc
Diffstat (limited to 'src/python/doc')
| -rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 14 |
1 files changed, 11 insertions, 3 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index a049cfb5..13f6f1af 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -9,12 +9,20 @@ Definition .. include:: wasserstein_distance_sum.inc -This implementation is based on ideas from "Large Scale Computation of Means and Cluster for Persistence Diagrams via Optimal Transport". +Functions +--------- +This implementation is based on ideas from "Large Scale Computation of Means +and Cluster for Persistence Diagrams via Optimal Transport". -Function --------- .. autofunction:: gudhi.wasserstein.wasserstein_distance +This other implementation comes from `Hera +<https://bitbucket.org/grey_narn/hera/src/master/>`_ and is based on `"Geometry +Helps to Compare Persistence Diagrams." +<http://dx.doi.org/10.1137/1.9781611974317.9>`_ by Michael Kerber, Dmitriy +Morozov, and Arnur Nigmetov, at ALENEX 2016. + +.. autofunction:: gudhi.hera.wasserstein_distance Basic example ------------- |