code: def cluster_lsun():
      "Not so applicable for this sample"
      start_centers = [[1.0, 3.5], [2.0, 0.5], [3.0, 3.0]]
      template_clustering(
          start_centers,
          FCPS_SAMPLES.SAMPLE_LSUN,
          criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION,
      )
      template_clustering(
          start_centers,
          FCPS_SAMPLES.SAMPLE_LSUN,
          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 13 for calling a global function with example usage: cluster_lsun() without return types