docstr: Returns clustering algorithm for the custom weights 'w'.
docstr_tok: ["Returns","clustering","algorithm","for","the","custom","weights","'","w","'","."]
code: def get_clusterable_algorithm(self, weight_name):
      """Returns clustering algorithm for the custom weights 'w'."""
      if weight_name == "w":
          return ClusterableWeightsCA
      else:
          # We don't cluster other weights.
          return None
  
imports: 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 clusterable_layer
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_algorithm
label_desc: Use image node_id 6 for calling the MyClusterableLayer obj's underlying member method code with example usage: obj.get_clusterable_algorithm(weight_name) and returns: ClusterableWeightsCA, None