code: def _check_cluster_params(n_cluster_centers, cluster_method):
      """
      Check the parameters for clustering.
  
      Parameters
      ----------
      n_cluster_centers : int or None
          The number of cluster centers to be used. If None, a `ValueError` is raised.
      cluster_method : str
          The method used for clustering. Should be either "approx" or "accurate".
          If it's not, a `ValueError` is raised.
  
      Raises
      ------
      ValueError
          If `n_cluster_centers` is None or `cluster_method` is not "approx" or "accurate".
      """
      if n_cluster_centers is None:
          raise ValueError("n_cluster_centers should be specified.")
      if not isinstance(n_cluster_centers, int):
          raise TypeError("n_cluster_centers should be int.")
      if n_cluster_centers <= 0:
          raise ValueError("n_cluster_centers should be larger than 0.")
      if cluster_method not in ["approx", "accurate"]:
          raise ValueError(
              'Clustering method should be "approx" or "accurate".'
          )
  
imports: import numpy
  import pandas
  import psutil
label_desc: Use image node_id 19 for calling a global function with example usage: _check_cluster_params(n_cluster_centers, cluster_method) without return types