code: def test4Center16DataClustering(self):
      data = []
      data.extend([[0, 0], [1, 0], [0, 1], [1, 1]])
      data.extend([[5, 0], [6, 0], [5, 1], [6, 1]])
      data.extend([[0, 5], [1, 5], [0, 6], [1, 6]])
      data.extend([[4, 4], [7, 4], [4, 7], [7, 7]])
  
      self.runGeneticAlgorithm(
          test_case_name=inspect.stack()[0][3],
          data=data,
          count_chromosomes=20,
          count_clusters=4,
          count_populations=100,
          count_mutations_gen=1,
          result_should_be=24.0,
      )
  
imports: import unittest
  import inspect
  import numpy
  import matplotlib
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.cluster.ga import genetic_algorithm, ga_observer, ga_visualizer
  from pyclustering.cluster.ga_maths import ga_math
  from pyclustering.utils import read_sample
label_desc: Use image node_id 5 for calling the GeneticAlgorithmClusteringUnitTest obj's underlying member method code with example usage: obj.test4Center16DataClustering() without return types