DOC Update doc for min_samples in HDBSCAN (#29263)

m-maggi · web-flow · commit 4bdd398d56a5 · 2024-07-09T08:56:26.000Z
diff --git a/sklearn/cluster/_hdbscan/_reachability.pyx b/sklearn/cluster/_hdbscan/_reachability.pyx
@@ -62,8 +62,8 @@ def mutual_reachability_graph(
         `CSR` format.
 
     min_samples : int, default=5
-        The number of points in a neighbourhood for a point to be considered
-        a core point.
+        The parameter `k` used to calculate the distance between a point
+        `x_p` and its k-th nearest neighbor.
 
     max_distance : float, default=0.0
         The distance which `np.inf` is replaced with. When the true mutual-
diff --git a/sklearn/cluster/_hdbscan/hdbscan.py b/sklearn/cluster/_hdbscan/hdbscan.py
@@ -441,8 +441,8 @@ class HDBSCAN(ClusterMixin, BaseEstimator):
         as noise.
 
     min_samples : int, default=None
-        The number of samples in a neighborhood for a point
-        to be considered as a core point. This includes the point itself.
+        The parameter `k` used to calculate the distance between a point
+        `x_p` and its k-th nearest neighbor.
         When `None`, defaults to `min_cluster_size`.
 
     cluster_selection_epsilon : float, default=0.0
