code: def cluster_hepta():
      start_medians = [
          [0.0, 0.0, 0.0],
          [3.0, 0.0, 0.0],
          [-2.0, 0.0, 0.0],
          [0.0, 3.0, 0.0],
          [0.0, -3.0, 0.0],
          [0.0, 0.0, 2.5],
          [0.0, 0.0, -2.5],
      ]
      template_clustering(start_medians, FCPS_SAMPLES.SAMPLE_HEPTA)
  
imports: from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.kmedians import kmedians
  from pyclustering.utils import draw_clusters
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
label_desc: Use image node_id 13 for calling a global function with example usage: cluster_hepta() without return types