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  1.     def best_clustering_find(self):
  2.         for num, metric_val in enumerate((self.metric_dataset['silhouette metric'], self.metric_dataset['calinski metric'], self.metric_dataset['david bolduin metric'])):
  3.             if num == 0:
  4.                 print(max(metric_val))
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