class_docstr: Class that mimics a cluster that does not expose `cluster_centers_`.
code: def fit(self, X, y=None):
      if self.expose_cluster_centers:
          self.cluster_centers_ = np.random.randn(
              self.n_clusters, X.shape[1]
          )
      return self
  
imports: import inspect
  import pkgutil
  from importlib import import_module
  from operator import itemgetter
  from pathlib import Path
  import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator
  from sklearn.neighbors import KDTree
  from sklearn.utils._testing import ignore_warnings
label_desc: Use image node_id 2 for calling the _CustomClusterer obj's underlying member method code with example usage: obj.fit(X, y) and returns: self