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https://issues.apache.org/jira/browse/SPARK-5992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15581366#comment-15581366
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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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