code: def _create_new_features_names(self):
      n_clusters = self._kmeans.cluster_centers_.shape[0]
      self._new_features = [
          f"Dist_Cluster_{i}" for i in range(n_clusters)
      ]
      self._new_features += ["Cluster"]
  
file_path: mljar-supervised/supervised/preprocessing/kmeans_transformer.py
imports: import datetime
  import json
  import os
  import time
  import joblib
  import numpy
  import pandas
  from sklearn.cluster import MiniBatchKMeans
  from sklearn.preprocessing import StandardScaler
  from supervised.exceptions import AutoMLException
label_desc: Use image node_id 3 for calling the KMeansTransformer obj's underlying member method code with example usage: obj._create_new_features_names() without return types