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-rw-r--r--src/python/doc/rips_complex_user.rst5
1 files changed, 4 insertions, 1 deletions
diff --git a/src/python/doc/rips_complex_user.rst b/src/python/doc/rips_complex_user.rst
index adb002a8..819568be 100644
--- a/src/python/doc/rips_complex_user.rst
+++ b/src/python/doc/rips_complex_user.rst
@@ -351,6 +351,9 @@ until dimension 1 - one skeleton graph in other words), the output is:
Weighted Rips Complex
---------------------
+`WeightedRipsComplex <rips_complex_ref.html#weighted-rips-complex-reference-manual>`_ builds a simplicial complex from a distance matrix and weights on vertices.
+
+
Example from a distance matrix and weights
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -372,7 +375,7 @@ The output is:
[([0], 2.0), ([1], 200.0), ([0, 1], 200.0)]
Example from a point cloud combined with DistanceToMeasure
-----------------------------------------------------------
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Combining with DistanceToMeasure, one can compute the DTM-filtration of a point set, as in `this notebook <https://github.com/GUDHI/TDA-tutorial/blob/master/Tuto-GUDHI-DTM-filtrations.ipynb>`_.