code: def cluster_iris():
      start_centers = kmeans_plusplus_initializer(
          read_sample(FAMOUS_SAMPLES.SAMPLE_IRIS), 4
      ).initialize()
      template_clustering(start_centers, FAMOUS_SAMPLES.SAMPLE_IRIS)
  
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 19 for calling a global function with example usage: cluster_iris() without return types