[jira] [Commented] (SPARK-2966) Add an approximation algorithm for hierarchical clustering to MLlib

["Yu Ishikawa (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14122249#comment-14122249 ] 

Yu Ishikawa commented on SPARK-2966:
------------------------------------

I'm sorry for not checking community discussion and JIRA issue. Thank you for let me know.

We would be able to implement an approximation algorithm for hierarchical clustering with LSH. I think the approach of this issue is different from that of [SPARK-2429]. Should we merge this issue to [SPARK-2429] ?

> Add an approximation algorithm for hierarchical clustering to MLlib
> -------------------------------------------------------------------
>
>                 Key: SPARK-2966
>                 URL: https://issues.apache.org/jira/browse/SPARK-2966
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Yu Ishikawa
>            Priority: Minor
>
> A hierarchical clustering algorithm is a useful unsupervised learning method.
> Koga. et al. proposed highly scalable hierarchical clustering altgorithm in (1).
> I would like to implement this method.
> I suggest adding an approximate hierarchical clustering algorithm to MLlib.
> I'd like this to be assigned to me.
> h3. Reference
> # Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing
> http://dl.acm.org/citation.cfm?id=1266811



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