diff --git a/sklearn/neighbors/approximate.py b/sklearn/neighbors/approximate.py
index c6f602979ea1b..7f7321abdfb1c 100644
--- a/sklearn/neighbors/approximate.py
+++ b/sklearn/neighbors/approximate.py
@@ -407,7 +407,7 @@ def kneighbors(self, X, n_neighbors=None, return_distance=True):
             List of n_features-dimensional data points.  Each row
             corresponds to a single query.
 
-        n_neighbors : int, opitonal (default = None)
+        n_neighbors : int, optional (default = None)
             Number of neighbors required. If not provided, this will
             return the number specified at the initialization.