class_docstr: Unit test class for the correctness or plausibility of Kmeans clustering
  results.
code: def setUpClass(self):
      self.n = 100
      self.sf = make_clustering_data(n=self.n, d=2, seed=43)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import copy
  import numpy
  from numpy.testing import assert_allclose
  import turicreate
  from .None import util
  from turicreate.util import _assert_sframe_equal
  from turicreate.toolkits._main import ToolkitError
  import sys
label_desc: Use image node_id 1 for calling the KmeansClusterTest obj's underlying member method code with example usage: obj.setUpClass() without return types