Github user srowen commented on the issue:

    https://github.com/apache/spark/pull/15450
  
    Heh, I believe the PC term is 'corner cases'. I agree. There's not much 
point in clustering data to k centroids when there are <= k distinct points. I 
think that's all the more reasons to not make the output sillier by returning k 
centroids. That's really the extent of the question here. I am not sure I 
understand why you believe the current behavior is better?
    
    I'd like to resolve this at last, so unless you would -1 this, I'm going to 
proceed.


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