code: def most_common(d):
      """Items of a defaultdict(int) with the highest values.
  
      Like Counter.most_common in Python >=2.7.
      """
      return sorted(d.items(), key=operator.itemgetter(1), reverse=True)
  
file_path: scikit-learn/examples/bicluster/plot_bicluster_newsgroups.py
imports: import operator
  from collections import defaultdict
  from time import time
  import numpy
  from sklearn.cluster import MiniBatchKMeans, SpectralCoclustering
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.feature_extraction.text import TfidfVectorizer
  from sklearn.metrics.cluster import v_measure_score
label_desc: Use image node_id 3 for calling a global function with example usage: most_common(d) and returns: sorted