code: def cluster_hepta():
      "Start with wrong number of clusters."
      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],
      ]
      template_clustering(
          start_centers,
          FCPS_SAMPLES.SAMPLE_HEPTA,
          criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION,
      )
      template_clustering(
          start_centers,
          FCPS_SAMPLES.SAMPLE_HEPTA,
          criterion=splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH,
      )
  
imports: import ntpath
  import random
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.xmeans import xmeans, splitting_type
  from pyclustering.utils import read_sample, timedcall
label_desc: Use image node_id 19 for calling a global function with example usage: cluster_hepta() without return types