code: def cluster_atom():
      "Impossible to obtain parameters that satisfy us, it seems to me that compression = 0.2 is key parameter here, because results of clustering doesn't depend on number of represented points, except 0."
      "Thus the best parameters is following: number of points for representation: [5, 400]; compression: [0.2, 0.204]"
      "Results of clustering is not so dramatically, but clusters are not allocated properly"
      template_clustering(2, FCPS_SAMPLES.SAMPLE_ATOM, 20, 0.2)
  
imports: from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.samples.definitions import FCPS_SAMPLES
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.cure import cure
label_desc: Use image node_id 18 for calling a global function with example usage: cluster_atom() without return types