code: def cluster_sample4():
      start_centers = [
          [1.5, 0.0],
          [1.5, 2.0],
          [1.5, 4.0],
          [1.5, 6.0],
          [1.5, 8.0],
      ]
      template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE4)
  
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 5 for calling a global function with example usage: cluster_sample4() without return types