code: def cluster_target():
      "Not so applicable for this sample"
      start_centers = [
          [0.2, 0.2],
          [0.0, -2.0],
          [3.0, -3.0],
          [3.0, 3.0],
          [-3.0, 3.0],
          [-3.0, -3.0],
      ]
      template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_TARGET)
  
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 12 for calling a global function with example usage: cluster_target() without return types