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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2017/02/23 16:30:44 UTC

[jira] [Commented] (SPARK-5226) Add DBSCAN Clustering Algorithm to MLlib

    [ https://issues.apache.org/jira/browse/SPARK-5226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15880786#comment-15880786 ] 

Xiangrui Meng commented on SPARK-5226:
--------------------------------------

I closed this ticket as "Won't Do" due to DBSCAN's high complexity and hence bad scalability as documented in http://staff.itee.uq.edu.au/taoyf/paper/sigmod15-dbscan.pdf.

> Add DBSCAN Clustering Algorithm to MLlib
> ----------------------------------------
>
>                 Key: SPARK-5226
>                 URL: https://issues.apache.org/jira/browse/SPARK-5226
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Muhammad-Ali A'rabi
>            Priority: Minor
>              Labels: DBSCAN, clustering
>
> MLlib is all k-means now, and I think we should add some new clustering algorithms to it. First candidate is DBSCAN as I think.



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