scikit-learn
diff --git a/‎sklearn/cluster/_spectral.py
Copy file name to clipboardExpand all lines: sklearn/cluster/_spectral.py
+3-1Lines changed: 3 additions & 1 deletion b/‎sklearn/cluster/_spectral.py
Copy file name to clipboardExpand all lines: sklearn/cluster/_spectral.py
+3-1Lines changed: 3 additions & 1 deletion
@@ -287,7 +287,9 @@ def spectral_clustering(
         The cluster_qr method [5]_ directly extracts clusters from eigenvectors
         in spectral clustering. In contrast to k-means and discretization, cluster_qr
         has no tuning parameters and is not an iterative method, yet may outperform
-        k-means and discretization in terms of both quality and speed.
+        k-means and discretization in terms of both quality and speed. For a detailed
+        comparison of clustering strategies, refer to the following example:
+        :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py`.
 
         .. versionchanged:: 1.1
            Added new labeling method 'cluster_qr'.