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| author | Marc Glisse <marc.glisse@inria.fr> | 2020-05-26 13:29:15 +0200 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2020-05-26 13:29:15 +0200 |
| commit | 1e71054e2abca4181b85209f862227b3d7d948e1 (patch) | |
| tree | 92383caf2c1c896bef3b8c94e7d9ff50e709c36c /src/python/gudhi/clustering | |
| parent | 59763a7a4a7be162aee9552e5db4e86fa2225cb6 (diff) | |
requires
Diffstat (limited to 'src/python/gudhi/clustering')
| -rw-r--r-- | src/python/gudhi/clustering/tomato.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/src/python/gudhi/clustering/tomato.py b/src/python/gudhi/clustering/tomato.py index 29642662..62fac8db 100644 --- a/src/python/gudhi/clustering/tomato.py +++ b/src/python/gudhi/clustering/tomato.py @@ -21,6 +21,9 @@ class Tomato: A few possible graph constructions and density estimators are provided for convenience, but it is perfectly natural to provide your own. + :Requires: `SciPy <installation.html#scipy>`_, `Scikit-learn <installation.html#scikit-learn>`_ or others + (see :class:`~gudhi.point_cloud.knn.KNearestNeighbors`) in function of the options. + Attributes ---------- n_clusters_: int |