code: def testVisualizeClusterWithAttributes(self):
      sample = read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE1)
      cure_instance = cure(sample, 2, 5, 0.5, False)
      cure_instance.process()
  
      clusters = cure_instance.get_clusters()
      representors = cure_instance.get_representors()
      means = cure_instance.get_means()
  
      visualizer = cluster_visualizer()
      visualizer.append_clusters(clusters, sample)
  
      for cluster_index in range(len(clusters)):
          visualizer.append_cluster_attribute(
              0, cluster_index, representors[cluster_index], "*", 10
          )
          visualizer.append_cluster_attribute(
              0, cluster_index, [means[cluster_index]], "o"
          )
  
      figure = visualizer.show()
      visualizer.close(figure)
  
imports: import unittest
  import matplotlib
  import matplotlib.pyplot
  import numpy
  import random
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
  from pyclustering.utils import read_sample
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.cluster.cure import cure
label_desc: Use image node_id 24 for calling the Test obj's underlying member method code with example usage: obj.testVisualizeClusterWithAttributes() without return types