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Diffstat (limited to 'tensorflow/contrib/factorization/python/ops/clustering_ops.py')
-rw-r--r-- | tensorflow/contrib/factorization/python/ops/clustering_ops.py | 2 |
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. |