docs: def _embedding_metric_mds(matrix, dimensions=3):
      """
      Private method to calculate MMDS embedding
      :param dimensions: (int)
      :return: coordinate matrix (np.array)
      """
      mds = sklearn.manifold.MDS(n_components=dimensions,
                                 dissimilarity='precomputed',
                                 metric=True)
      mds.fit(matrix)
      return mds.embedding_