code: def setUp(self):
      self.X, self.y = load_breast_cancer(return_X_y=True)
  
      n_clusters = 5
  
      # Initialize a set of estimators
      estimators = [
          KMeans(n_clusters=n_clusters),
          MiniBatchKMeans(n_clusters=n_clusters),
          AgglomerativeClustering(n_clusters=n_clusters),
      ]
  
      self.estimator = ClustererEnsemble(
          estimators, n_clusters=n_clusters
      )
      self.estimator.fit(self.X)
  
imports: import os
  import sys
  import unittest
  import numpy
  from sklearn.cluster import KMeans
  from sklearn.cluster import MiniBatchKMeans
  from sklearn.cluster import AgglomerativeClustering
  from sklearn.datasets import load_breast_cancer
  from numpy.testing import assert_equal
  from combo.models.cluster_comb import ClustererEnsemble
  from combo.models.cluster_comb import clusterer_ensemble_scores
label_desc: Use image node_id 1 for calling the TestClustererEnsemble obj's underlying member method code with example usage: obj.setUp() without return types