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Posted to issues@madlib.apache.org by "Frank McQuillan (Jira)" <ji...@apache.org> on 2020/07/07 19:33:00 UTC
[jira] [Resolved] (MADLIB-1017) OPTICS and/or DBSCAN clustering
algo
[ https://issues.apache.org/jira/browse/MADLIB-1017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan resolved MADLIB-1017.
-------------------------------------
Fix Version/s: (was: v2.0)
v1.18.0
Resolution: Duplicate
> 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
> Priority: Major
> Labels: starter
> Fix For: v1.18.0
>
>
> 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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