code: def cluster_sample5():
      start_centers = [[0.0, 1.0], [0.0, 0.0], [1.0, 1.0], [1.0, 0.0]]
      template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE5)
  
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.fcm import fcm
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
label_desc: Use image node_id 6 for calling a global function with example usage: cluster_sample5() without return types