class_docstr: Test the InterclusterDistance visualizer
class_docstr_tok: ["Test","the","InterclusterDistance","visualizer"]
docstr: Test the quick method producing a valid visualization
docstr_tok: ["Test","the","quick","method","producing","a","valid","visualization"]
code: def test_quick_method(self):
      """
      Test the quick method producing a valid visualization
      """
      model = MiniBatchKMeans(3, random_state=343)
      oz = intercluster_distance(
          model,
          self.blobs4.X,
          random_state=93,
          legend=False,
          show=False,
      )
      assert isinstance(oz, InterclusterDistance)
  
      self.assert_images_similar(oz)
  
imports: import pytest
  import matplotlib
  import numpy
  from yellowbrick.cluster.icdm import *
  from yellowbrick.datasets import load_nfl
  from yellowbrick.exceptions import YellowbrickValueError
  from unittest import mock
  from tests.fixtures import Dataset
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from sklearn.datasets import make_blobs
  from sklearn.cluster import Birch, AgglomerativeClustering
  from sklearn.decomposition import LatentDirichletAllocation
  from sklearn.cluster import KMeans, AffinityPropagation, MiniBatchKMeans
  from sklearn.pipeline import Pipeline
  from sklearn.impute import SimpleImputer
label_desc: Use image node_id 8 for calling the TestInterclusterDistance obj's underlying member method code with example usage: obj.test_quick_method() without return types