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Added documentation reference to plot_segmentation_toy.py to spectral.py #30978

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Added documentation reference to plot_segmentation_toy.py to spectral.py #30978

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5 changes: 5 additions & 0 deletions sklearn/cluster/_spectral.py
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Expand Up @@ -388,6 +388,11 @@ class SpectralClustering(ClusterMixin, BaseEstimator):
If the affinity matrix is the adjacency matrix of a graph, this method
can be used to find normalized graph cuts [1]_, [2]_.

For an example of spectral clustering applied to image segmentation
using normalized cuts, see
:ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py`

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@StefanieSenger StefanieSenger Mar 14, 2025 •
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Suggested change
:ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py`
:ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py`.

Also, please delete one of the empty lines below. It causes one of the CI tests to fail.


When calling ``fit``, an affinity matrix is constructed using either
a kernel function such the Gaussian (aka RBF) kernel with Euclidean
distance ``d(X, X)``::
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