parameters: (self)
return_statement: return (self._distance_metric == COSINE_DISTANCE and
              (not self._use_mini_batch or
               self._mini_batch_steps_per_iteration > 1))
docstring: Returns True if clusters centers are kept normalized.
docstring_summary: Returns True if clusters centers are kept normalized.
docstring_tokens: Returns True if clusters centers are kept normalized .
function: def _clusters_l2_normalized(self):
      """Returns True if clusters centers are kept normalized."""
      return (self._distance_metric == COSINE_DISTANCE and
              (not self._use_mini_batch or
               self._mini_batch_steps_per_iteration > 1))
function_tokens: def _clusters_l2_normalized ( self ) : return ( self . _distance_metric == COSINE_DISTANCE and ( not self . _use_mini_batch or self . _mini_batch_steps_per_iteration > 1 ) )