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Merged
merged 8 commits into from
Oct 17, 2024
Merged

DOC added links for plot_affinity_propagation.py #29759

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b191422
DOC add link to plot_bias_variance.py
ivanpan0626 Aug 31, 2024
ccee16a
Revert "DOC add link to plot_bias_variance.py"
ivanpan0626 Aug 31, 2024
a81a630
Update _affinity_propagation.py
ivanpan0626 Aug 31, 2024
c44c05e
Update _dbscan.py
ivanpan0626 Sep 1, 2024
4affb22
DOC add link to plot_bias_variance.py
ivanpan0626 Aug 31, 2024
c60058a
Revert "DOC add link to plot_bias_variance.py"
ivanpan0626 Aug 31, 2024
b1b5c00
additional example
ivanpan0626 Sep 8, 2024
0bf7b0b
Merge branch 'main' into main
adrinjalali Oct 17, 2024
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10 changes: 6 additions & 4 deletions sklearn/cluster/_affinity_propagation.py
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Expand Up @@ -258,8 +258,10 @@ def affinity_propagation(

Notes
-----
For an example, see :ref:`examples/cluster/plot_affinity_propagation.py
<sphx_glr_auto_examples_cluster_plot_affinity_propagation.py>`.
For an example usage,
see :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py`.
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I would also mention this example here: https://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html#clustering-using-affinity-propagation

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I have added the example, and rebased the branch.

You may also check out,
:ref:`sphx_glr_auto_examples_applications_plot_stock_market.py`

When the algorithm does not converge, it will still return a arrays of
``cluster_center_indices`` and labels if there are any exemplars/clusters,
Expand Down Expand Up @@ -396,8 +398,8 @@ class AffinityPropagation(ClusterMixin, BaseEstimator):

Notes
-----
For an example, see :ref:`examples/cluster/plot_affinity_propagation.py
<sphx_glr_auto_examples_cluster_plot_affinity_propagation.py>`.
For an example usage,
see :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py`.

The algorithmic complexity of affinity propagation is quadratic
in the number of points.
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4 changes: 2 additions & 2 deletions sklearn/cluster/_dbscan.py
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Expand Up @@ -277,8 +277,8 @@ class DBSCAN(ClusterMixin, BaseEstimator):

Notes
-----
For an example, see :ref:`examples/cluster/plot_dbscan.py
<sphx_glr_auto_examples_cluster_plot_dbscan.py>`.
For an example, see
:ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py`.

This implementation bulk-computes all neighborhood queries, which increases
the memory complexity to O(n.d) where d is the average number of neighbors,
Expand Down