DOC Reword to avoid that people draw wrong conclusions
@@ -30,9 +30,10 @@ def optics(X, min_samples=5, max_eps=np.inf, metric='euclidean',
"""Perform OPTICS clustering from vector array
OPTICS: Ordering Points To Identify the Clustering Structure
- Equivalent to DBSCAN, finds core sample of high density and expands
+ Closely related to DBSCAN, finds core sample of high density and expands
clusters from them. Unlike DBSCAN, keeps cluster hierarchy for a variable
- neighborhood radius. Optimized for usage on large point datasets.
+ neighborhood radius. Better suited for usage on large point datasets than
+ the current sklearn implementation of DBSCAN.
Read more in the :ref:`User Guide <optics>`.
@@ -182,9 +183,10 @@ class OPTICS(BaseEstimator, ClusterMixin):
"""Estimate clustering structure from vector array
OPTICS: Ordering Points To Identify the Clustering Structure
- Equivalent to DBSCAN, finds core sample of high density and expands
+ Closely related to DBSCAN, finds core sample of high density and expands
clusters from them. Unlike DBSCAN, keeps cluster hierarchy for a variable
- neighborhood radius. Optimized for usage on large point datasets.
+ neighborhood radius. Better suited for usage on large point datasets than
+ the current sklearn implementation of DBSCAN.
Read more in the :ref:`User Guide <optics>`.
