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1 change: 1 addition & 0 deletions examples/cluster/plot_optics.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
Finds core samples of high density and expands clusters from them.
This example uses data that is generated so that the clusters have
different densities.

The :class:`~cluster.OPTICS` is first used with its Xi cluster detection
method, and then setting specific thresholds on the reachability, which
corresponds to :class:`~cluster.DBSCAN`. We can see that the different
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3 changes: 3 additions & 0 deletions sklearn/cluster/_optics.py
Original file line number Diff line number Diff line change
Expand Up @@ -233,6 +233,9 @@ class OPTICS(ClusterMixin, BaseEstimator):
>>> clustering = OPTICS(min_samples=2).fit(X)
>>> clustering.labels_
array([0, 0, 0, 1, 1, 1])

For a more detailed example see
:ref:`sphx_glr_auto_examples_cluster_plot_optics.py`.
"""

_parameter_constraints: dict = {
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