code: def cluster_sample5():
      "Start with wrong number of clusters."
      start_centers = [[0.0, 1.0], [0.0, 0.0]]
      template_clustering(
          start_centers,
          SIMPLE_SAMPLES.SAMPLE_SIMPLE5,
          criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION,
      )
      template_clustering(
          start_centers,
          SIMPLE_SAMPLES.SAMPLE_SIMPLE5,
          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 10 for calling a global function with example usage: cluster_sample5() without return types