[
https://issues.apache.org/jira/browse/SPARK-2966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14123029#comment-14123029
]
Yu Ishikawa commented on SPARK-2966:
------------------------------------
Hi [~rnowling],
{quote}
Based on my reading of the Spark contribution guidelines (
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark ), I
think that the Spark community would prefer to have one good implementation of
an algorithm instead of multiple similar algorithms.
{quote}
I got it. Tnak you for let me know.
{quote}
would you like to take the lead on the hierarchical clustering?
{quote}
I'd love to! I read the Freeman's example code. Because I like it, I will try
to implement it. And I would like you to review it.
thanks
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
