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.. table::
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| .. figure:: | The q-Wasserstein distance measures the similarity between two | :Author: Theo Lacombe |
| ../../doc/Bottleneck_distance/perturb_pd.png | persistence diagrams using the sum of all edges lengths (instead of | |
| :figclass: align-center | the maximum). It allows to define sophisticated objects such as | :Introduced in: GUDHI 3.1.0 |
| | barycenters of a family of persistence diagrams. | |
| Wasserstein distance is the q-th root of the sum of the | | :Copyright: MIT |
| edge lengths to the power q. | | |
| | | :Requires: Python Optimal Transport (POT) :math:`\geq` 0.5.1 |
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| * :doc:`wasserstein_distance_user` | |
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