DOC Add links to DBSCAN references. (scikit-learn#24758)

andportnoy · Nov 5, 2022 · 7cd9fd9 · 7cd9fd9
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diff --git a/doc/modules/clustering.rst b/doc/modules/clustering.rst
@@ -936,13 +936,14 @@ by black points below.
 
 .. topic:: References:
 
- * "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases
-   with Noise"
+ * `"A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases
+   with Noise" <https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf>`_
    Ester, M., H. P. Kriegel, J. Sander, and X. Xu,
    In Proceedings of the 2nd International Conference on Knowledge Discovery
    and Data Mining, Portland, OR, AAAI Press, pp. 226–231. 1996
 
- * "DBSCAN revisited, revisited: why and how you should (still) use DBSCAN.
+ * :doi:`"DBSCAN revisited, revisited: why and how you should (still) use DBSCAN."
+   <10.1145/3068335>`
    Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017).
    In ACM Transactions on Database Systems (TODS), 42(3), 19.
 
@@ -2110,4 +2111,4 @@ diagonal entries::
 .. topic:: References
 
  * :doi:`"Comparing Partitions" <10.1007/BF01908075>` 
-   L. Hubert and P. Arabie, Journal of Classification 1985
+   L. Hubert and P. Arabie, Journal of Classification 1985
diff --git a/sklearn/cluster/_dbscan.py b/sklearn/cluster/_dbscan.py
@@ -139,13 +139,15 @@ def dbscan(
 
     References
     ----------
-    Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based
-    Algorithm for Discovering Clusters in Large Spatial Databases with Noise".
+    Ester, M., H. P. Kriegel, J. Sander, and X. Xu, `"A Density-Based
+    Algorithm for Discovering Clusters in Large Spatial Databases with Noise"
+    <https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf>`_.
     In: Proceedings of the 2nd International Conference on Knowledge Discovery
     and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996
 
     Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017).
-    DBSCAN revisited, revisited: why and how you should (still) use DBSCAN.
+    :doi:`"DBSCAN revisited, revisited: why and how you should (still) use DBSCAN."
+    <10.1145/3068335>`
     ACM Transactions on Database Systems (TODS), 42(3), 19.
     """
 
@@ -277,13 +279,15 @@ class DBSCAN(ClusterMixin, BaseEstimator):
 
     References
     ----------
-    Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based
-    Algorithm for Discovering Clusters in Large Spatial Databases with Noise".
+    Ester, M., H. P. Kriegel, J. Sander, and X. Xu, `"A Density-Based
+    Algorithm for Discovering Clusters in Large Spatial Databases with Noise"
+    <https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf>`_.
     In: Proceedings of the 2nd International Conference on Knowledge Discovery
     and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996
 
     Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017).
-    DBSCAN revisited, revisited: why and how you should (still) use DBSCAN.
+    :doi:`"DBSCAN revisited, revisited: why and how you should (still) use DBSCAN."
+    <10.1145/3068335>`
     ACM Transactions on Database Systems (TODS), 42(3), 19.
 
     Examples