code: def cluster_sample3():
      start_centers = [[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]]
      template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE3)
  
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 4 for calling a global function with example usage: cluster_sample3() without return types