code: def _clustering_strategies():
      return [
          {
              "number_of_clusters": 2,
              "cluster_centroids_init": CentroidInitialization.LINEAR,
              "preserve_sparsity": False,
          },
          {
              "number_of_clusters": 3,
              "cluster_centroids_init": CentroidInitialization.KMEANS_PLUS_PLUS,
              "preserve_sparsity": True,
          },
      ]
  
file_path: model-optimization/tensorflow_model_optimization/python/core/clustering/keras/cluster_distributed_test.py
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import cluster
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_config
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_wrapper
  from tensorflow_model_optimization.python.core.clustering.keras.experimental import cluster
  from tensorflow_model_optimization.python.core.keras import test_utils
label_desc: Use image node_id 2 for calling a global function with example usage: _clustering_strategies() and returns: list