code: def cluster_tetra():
      start_centers = [[1, 0, 0], [0, 1, 0], [0, -1, 0], [-1, 0, 0]]
      template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_TETRA)
  
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 17 for calling a global function with example usage: cluster_tetra() without return types