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Diffstat (limited to 'src/python/doc/wasserstein_distance_user.rst')
| -rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index 2d2e2ae7..96ec7872 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -21,9 +21,9 @@ Distance Functions Optimal Transport ***************** -:Requires: `Python Optimal Transport <installation.html#python-optimal-transport>`__ (POT) :math:`\geq` 0.5.1 +:Requires: `Python Optimal Transport <installation.html#python-optimal-transport>`_ (POT) :math:`\geq` 0.5.1 -This first implementation uses the `Python Optimal Transport <installation.html#python-optimal-transport>`__ +This first implementation uses the `Python Optimal Transport <installation.html#python-optimal-transport>`_ library and is based on ideas from "Large Scale Computation of Means and Cluster for Persistence Diagrams via Optimal Transport" :cite:`10.5555/3327546.3327645`. @@ -103,7 +103,7 @@ The output is: Barycenters ----------- -:Requires: `Python Optimal Transport <installation.html#python-optimal-transport>`__ (POT) :math:`\geq` 0.5.1 +:Requires: `Python Optimal Transport <installation.html#python-optimal-transport>`_ (POT) :math:`\geq` 0.5.1 A Frechet mean (or barycenter) is a generalization of the arithmetic mean in a non linear space such as the one of persistence diagrams. |