Debasish Das commented on SPARK-5992:

Also do you have hash function for euclidean distance?  We use cosine, jaccard 
and euclidean with SPARK-4823...for knn comparison we can use overlap 
metric...pick up k and then compare overlap within lsh based approximate knn 
and brute force knn...let me know if you need help in running the benchmarks...

> Locality Sensitive Hashing (LSH) for MLlib
> ------------------------------------------
>                 Key: SPARK-5992
>                 URL: https://issues.apache.org/jira/browse/SPARK-5992
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Joseph K. Bradley
> Locality Sensitive Hashing (LSH) would be very useful for ML.  It would be 
> great to discuss some possible algorithms here, choose an API, and make a PR 
> for an initial algorithm.

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