code: """
  Co-occurrence Matrix / Cluster MDS Map
  ===============================================================================
  
  >>> from techminer2 import *
  >>> directory = "data/"
  >>> file_name = "sphinx/images/co_occurrence_matrix_cluster_mds_map.png"
  >>> co_occurrence_matrix_cluster_mds_map(
  ...     'author_keywords',
  ...     min_occ=2, 
  ...     directory=directory,
  ... ).savefig(file_name)
  
  .. image:: images/co_occurrence_matrix_cluster_mds_map.png
      :width: 700px
      :align: center
  
  
  """
  from sklearn.manifold import MDS
  
  from .co_occurrence_matrix import co_occurrence_matrix
  from .network import network
  from .network_map import network_map
  
  
  def co_occurrence_matrix_cluster_mds_map(
      column,
      min_occ=2,
      max_occ=None,
      normalization=None,
      clustering_method="louvain",
      directory="./",
      color_scheme="clusters",
      figsize=(7, 7),
  ):
  
      coc_matrix = co_occurrence_matrix(
          column=column,
          min_occ=min_occ,
          max_occ=max_occ,
          normalization=normalization,
          directory=directory,
      )
  
      manifold_method = MDS(n_components=2)
  
      network_ = network(
          matrix=coc_matrix,
          clustering_method=clustering_method,
          manifold_method=manifold_method,
      )
  
      return network_map(
          network_,
          color_scheme=color_scheme,
          figsize=figsize,
      )
  
apis: sklearn.manifold.MDS