code: def __call__(self):
      kws = list(
          (
              # labels
              self._labels.params,
              # upper_bounds
              self._upper_bounds.params,
              # lower_bounds
              self._lower_bounds.params,
          )
      )
      # centers_new
      kws.append(
          {
              "shape": (self._n_clusters, self._x.shape[1]),
              "dtype": self._centers_old.dtype,
              "order": TensorOrder.C_ORDER,
          }
      )
      # weight_in_clusters
      kws.append(
          {
              "shape": (self._n_clusters,),
              "dtype": self._centers_old.dtype,
              "order": TensorOrder.C_ORDER,
          }
      )
      return self.new_tileables(
          [getattr(self, f) for f in self._input_fields], kws=kws
      )
  
imports: import numpy
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, Int32Field, BoolField
  from ...tensor.array_utils import as_same_device, device, cp, sparse
  from ...tensor.core import TensorOrder
  from ...utils import has_unknown_shape
  from ..operands import LearnOperand, LearnOperandMixin
  from ._k_means_common import _execute_merge_update, _relocate_empty_clusters
  from ._k_means_elkan import init_bounds_dense, init_bounds_sparse, update_chunk_dense, update_chunk_sparse
  from ._k_means_fast import update_center, update_upper_lower_bounds
label_desc: Use image node_id 15 for calling the KMeansElkanUpdate obj's underlying member method code with example usage: obj.__call__() and returns: self