Github user Yunni commented on the issue:

    https://github.com/apache/spark/pull/15148
  
    Hi @sethah, 
    Thanks for the comments.
    
    - I agree. I have moved `lsh` package to be under `feature`
    - In "Similarity search in high dimensions via hashing", there is an 
algorithm in the box `Approximate Nearest Neighbor Query`. It's almost the same 
as the algorithm on Wikipedia. I think you find it looks different because
    
      1. it is using the Dataset API instead of RDD.
    
      2. it finds exactly k elements regardless of the bucket sizes. (unless 
#elems in the origin dataset < k)
    - I am clarifying this in the scaladoc of RandomProjection. Please advise 
if you come up with a better name.


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