code: def cluster_sample4():
      start_centers = [
          [1.5, 0.0],
          [1.5, 2.0],
          [1.5, 4.0],
          [1.5, 6.0],
          [1.5, 8.0],
      ]
      template_clustering(
          start_centers,
          SIMPLE_SAMPLES.SAMPLE_SIMPLE4,
          criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION,
      )
      template_clustering(
          start_centers,
          SIMPLE_SAMPLES.SAMPLE_SIMPLE4,
          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 8 for calling a global function with example usage: cluster_sample4() without return types