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)
  
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 10 for calling a global function with example usage: cluster_lsun() without return types