You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/02/24 00:00:17 UTC

[jira] [Updated] (SPARK-3220) K-Means clusterer should perform K-Means initialization in parallel

     [ https://issues.apache.org/jira/browse/SPARK-3220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-3220:
---------------------------------
    Labels: clustering  (was: )

> K-Means clusterer should perform K-Means initialization in parallel
> -------------------------------------------------------------------
>
>                 Key: SPARK-3220
>                 URL: https://issues.apache.org/jira/browse/SPARK-3220
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Derrick Burns
>              Labels: clustering
>
> The LocalKMeans method should be replaced with a parallel implementation.  As it stands now, it becomes a bottleneck for large data sets. 
> I have implemented this functionality in my version of the clusterer.  However, I see that there are hundreds of outstanding pull requests.  If someone on the team wants to sponsor the pull request, I will create one.  Otherwise, I will just maintain my own private fork of the clusterer.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org