From 98da8d0182f7ac47dd20e2627e43894cf43e2480 Mon Sep 17 00:00:00 2001
From: tassonem <146456756+tassonem@users.noreply.github.com>
Date: Tue, 11 Mar 2025 21:24:45 -0500
Subject: [PATCH] Adding reference to image segmentation

---
 sklearn/cluster/_spectral.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/sklearn/cluster/_spectral.py b/sklearn/cluster/_spectral.py
index e563eac014174..63727020ac155 100644
--- a/sklearn/cluster/_spectral.py
+++ b/sklearn/cluster/_spectral.py
@@ -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`
+
+
     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)``::