class_docstr: Abstract base class for time series clusterer.
  
  Parameters
  ----------
  n_clusters: int, defaults = None
      Number of clusters for model.
class_docstr_tok: ["Abstract","base","class","for","time","series","clusterer",".","Parameters","--","--","--","--","--","n_clusters",":","int",",","defaults","=","None","Number","of","clusters","for","model","."]
code: def _score(self, X, y=None):
      raise NotImplementedError
  
imports: import time
  from typing import Any, Union
  import numpy
  import pandas
  from sktime.base import BaseEstimator
  from sktime.datatypes import check_is_scitype, convert_to, scitype_to_mtype
  from sktime.utils.sklearn import is_sklearn_transformer
  from sktime.utils.validation import check_n_jobs
  from sktime.utils.validation._dependencies import _check_estimator_deps
label_desc: Use image node_id 9 for calling the BaseClusterer obj's underlying member method code with example usage: obj._score(X, y) without return types