code: def cluster_hepta():
      start_centers = [
          [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_centers, FCPS_SAMPLES.SAMPLE_HEPTA)
  
imports: import random
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES, FAMOUS_SAMPLES
  from pyclustering.cluster import cluster_visualizer_multidim
  from pyclustering.cluster.center_initializer import kmeans_plusplus_initializer
  from pyclustering.cluster.kmeans import kmeans, kmeans_observer, kmeans_visualizer
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
  from pyclustering.utils.metric import distance_metric, type_metric
label_desc: Use image node_id 15 for calling a global function with example usage: cluster_hepta() without return types