code: def performance_measure_random_points(ccore):
      clustering_random_points(1000, ccore)
      clustering_random_points(2000, ccore)
      clustering_random_points(3000, ccore)
      clustering_random_points(4000, ccore)
      clustering_random_points(5000, ccore)
      clustering_random_points(10000, ccore)
      clustering_random_points(20000, ccore)
  
imports: import random
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
label_desc: Use image node_id 24 for calling a global function with example usage: performance_measure_random_points(ccore) without return types