scikit-learn
diff --git a/‎doc/modules/classes.rst
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+2Lines changed: 2 additions & 0 deletions b/‎doc/modules/classes.rst
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+2Lines changed: 2 additions & 0 deletions
diff --git a/‎examples/cluster/plot_cluster_comparison.py
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-3Lines changed: 0 additions & 3 deletions b/‎examples/cluster/plot_cluster_comparison.py
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-3Lines changed: 0 additions & 3 deletions
diff --git a/‎examples/cluster/plot_optics.py
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-101Lines changed: 0 additions & 101 deletions b/‎examples/cluster/plot_optics.py
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diff --git a/‎sklearn/cluster/__init__.py
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+3-1Lines changed: 3 additions & 1 deletion b/‎sklearn/cluster/__init__.py
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+3-1Lines changed: 3 additions & 1 deletion
@@ -119,6 +119,8 @@ Functions
    cluster.mean_shift
    cluster.spectral_clustering
    cluster.ward_tree
+   cluster.compute_optics_graph
+   cluster.cluster_optics_dbscan
 
 .. _bicluster_ref:
 
 
@@ -116,8 +116,6 @@
         n_clusters=params['n_clusters'], eigen_solver='arpack',
         affinity="nearest_neighbors")
     dbscan = cluster.DBSCAN(eps=params['eps'])
-    optics = cluster.OPTICS(min_samples=30, maxima_ratio=.8,
-                            rejection_ratio=.4)
     affinity_propagation = cluster.AffinityPropagation(
         damping=params['damping'], preference=params['preference'])
     average_linkage = cluster.AgglomerativeClustering(
@@ -135,7 +133,6 @@
         ('Ward', ward),
         ('AgglomerativeClustering', average_linkage),
         ('DBSCAN', dbscan),
-        ('OPTICS', optics),
         ('Birch', birch),
         ('GaussianMixture', gmm)
     )
 
@@ -11,7 +11,7 @@
                            FeatureAgglomeration)
 from .k_means_ import k_means, KMeans, MiniBatchKMeans
 from .dbscan_ import dbscan, DBSCAN
-from .optics_ import OPTICS
+from .optics_ import OPTICS, cluster_optics_dbscan, compute_optics_graph
 from .bicluster import SpectralBiclustering, SpectralCoclustering
 from .birch import Birch
 
@@ -20,6 +20,8 @@
            'Birch',
            'DBSCAN',
            'OPTICS',
+           'cluster_optics_dbscan',
+           'compute_optics_graph',
            'KMeans',
            'FeatureAgglomeration',
            'MeanShift',