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-rw-r--r--tensorflow/contrib/factorization/python/ops/clustering_ops.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/clustering_ops.py b/tensorflow/contrib/factorization/python/ops/clustering_ops.py
index 42815664ad..2e9b5e22c7 100644
--- a/tensorflow/contrib/factorization/python/ops/clustering_ops.py
+++ b/tensorflow/contrib/factorization/python/ops/clustering_ops.py
@@ -222,7 +222,7 @@ class KMeans(object):
if (self._distance_metric == COSINE_DISTANCE and
not self._clusters_l2_normalized()):
# The cosine distance between normalized vectors x and y is the same as
- # 2 * squared_euclidian_distance. We are using this fact and reusing the
+ # 2 * squared_euclidean_distance. We are using this fact and reusing the
# nearest_neighbors op.
# TODO(ands): Support COSINE distance in nearest_neighbors and remove
# this.