class_docstr: Dummy clustering estimator.
      
code: def __init__(self, type=1):
      self.type = type
      pass
  
imports: import os
  import subprocess
  import numpy
  from mlens import config
  from mlens.utils import IdTrain
  from mlens.index import FoldIndex, BlendIndex, SubsetIndex, TemporalIndex, ClusteredSubsetIndex, FullIndex
  from mlens.index.base import partition, prune_train
label_desc: Use image node_id 1 to create a new ClusterEstimator object from inherited base classes: object with example: obj = ClusterEstimator(type)