Github user rmchurch commented on the issue:

    https://github.com/apache/spark/pull/11515
  
    This example doesn't seem to work in Spark 2.0.0, and from the master 
mllib/clustering.py, I don't expect it to work in the most updated code either. 
Specifically, the Python BisectingKMeansModel class does not have a save method 
(the KMeansModel class does), so that the last three lines of the following 
code do not work:
    
    ```
    # Build the model (cluster the data)
    model = BisectingKMeans.train(parsedData, 2, maxIterations=5)
    
    # Evaluate clustering
    cost = model.computeCost(parsedData)
    print("Bisecting K-means Cost = " + str(cost))
    
    # Save and load model
    path = 
"target/org/apache/spark/PythonBisectingKMeansExample/BisectingKMeansModel"
    model.save(sc, path)
    sameModel = BisectingKMeansModel.load(sc, path)
    ```


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