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https://issues.apache.org/jira/browse/MADLIB-1017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15485667#comment-15485667
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Frank McQuillan commented on MADLIB-1017:
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I emailed Maxence to ask him to describe where the project left off, and he
replied:
"The k-medoids project was completed, save for one small bug in HAWQ, which
does not display the correct number of iterations.
Unfortunately, right after the end of the GSoC I moved to Siberia for my
studies, and did not have time to investigate the reason of this bug.
The copy of Madlib I worked on is still available here [0].
If I remember correctly, save for this bug in HAWQ, the code is ready to be
merged: docs and basic tests have been written. I didn't check if the code
still merges correctly with the main repo, though."
[0] http://git.viod.eu/viod/madlib
[~riyer] may be able to add more color as well.
We are interested in other clustering algorithms. If someone in the community
(yourself?) would like to pick this JIRA up then I would certainly support them
to do so. The Pivotal MADlib team may pick this up too but I do not have a
timeline for that.
Frank
> OPTICS and/or DBSCAN clustering algo
> ------------------------------------
>
> Key: MADLIB-1017
> URL: https://issues.apache.org/jira/browse/MADLIB-1017
> Project: Apache MADlib
> Issue Type: New Feature
> Reporter: eric peterson
>
> As a data scientist, I'd like to be able to use DBSCAN or OPTICS clustering
> algorithms instead of k-means so that I don't have to compute K. There seems
> to have been some initial work on this, but dont see any final
> result/progress.
> https://blog.pivotal.io/pivotal/features/updating-postgresql-based-open-source-machine-learning-library-from-google-summer-of-code
> Any plans to include clustering algorithms beyond k-means?
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