code: def templateClusteringResultsRandomize(
      path, radius, neighbors, expected_length_clusters, ccore
  ):
      for i in range(10):
          DbscanTestTemplates.templateClusteringResults(
              path,
              radius,
              neighbors,
              expected_length_clusters,
              ccore,
              random_order=True,
          )
  
imports: import os
  import pickle
  import tempfile
  from random import random, shuffle
  from pyclustering.utils import read_sample, calculate_distance_matrix
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.tests.assertion import assertion
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.samples import answer_reader
label_desc: Use image node_id 3 for calling the DbscanTestTemplates obj's underlying member method code with example usage: obj.templateClusteringResultsRandomize(path, radius, neighbors, expected_length_clusters, ccore) without return types