code: def display_fcps_dependence_clustering_results():
      (two_diamonds, two_diamonds_clusters_1, _) = template_clustering(
          0.15, 4, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_2, _) = template_clustering(
          0.15, 5, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_3, _) = template_clustering(
          0.15, 6, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_4, _) = template_clustering(
          0.15, 7, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
  
      (two_diamonds, two_diamonds_clusters_5, _) = template_clustering(
          0.10, 6, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_6, _) = template_clustering(
          0.12, 6, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_7, _) = template_clustering(
          0.15, 6, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
      (two_diamonds, two_diamonds_clusters_8, _) = template_clustering(
          0.17, 6, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, False, True, False
      )
  
      visualizer = cluster_visualizer(8, 4)
      visualizer.append_clusters(
          two_diamonds_clusters_1, two_diamonds, 0
      )
      visualizer.append_clusters(
          two_diamonds_clusters_2, two_diamonds, 1
      )
      visualizer.append_clusters(
          two_diamonds_clusters_3, two_diamonds, 2
      )
      visualizer.append_clusters(
          two_diamonds_clusters_4, two_diamonds, 3
      )
      visualizer.append_clusters(
          two_diamonds_clusters_5, two_diamonds, 4
      )
      visualizer.append_clusters(
          two_diamonds_clusters_6, two_diamonds, 5
      )
      visualizer.append_clusters(
          two_diamonds_clusters_7, two_diamonds, 6
      )
      visualizer.append_clusters(
          two_diamonds_clusters_8, two_diamonds, 7
      )
      visualizer.show()
  
imports: import random
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
label_desc: Use image node_id 22 for calling a global function with example usage: display_fcps_dependence_clustering_results() without return types