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Posted to issues@madlib.apache.org by "Frank McQuillan (JIRA)" <ji...@apache.org> on 2018/12/17 19:48:00 UTC

[jira] [Assigned] (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 reassigned MADLIB-1017:
---------------------------------------

    Assignee:     (was: Abhish Agarwal)

> 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: v1.16
>
>
> 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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