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https://issues.apache.org/jira/browse/SPARK-5992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14392366#comment-14392366
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Yu Ishikawa commented on SPARK-5992:
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As I said when we talked in Spark Summit East, I think we should design the
public API and implement just random projection method at first.
I am interested in this paper. However, I haven't read the details of this
paper.
Bahman Bahmani, Ashish Goel, and Rajendra Shinde. 2012. Efficient distributed
locality sensitive hashing. In Proceedings of the 21st ACM international
conference on Information and knowledge management (CIKM '12). ACM, New York,
NY, USA, 2174-2178. DOI=10.1145/2396761.2398596
http://web.stanford.edu/~ashishg/papers/darpa_unpub2.pdf
> 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
> Affects Versions: 1.4.0
> 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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