[jira] [Updated] (MATH-748) Additional Clustering Algorithms

["Reid Hochstedler (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-748?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reid Hochstedler updated MATH-748:
----------------------------------

    Attachment: MATH-748.txt

DBSCAN clustering
                
> Additional Clustering Algorithms
> --------------------------------
>
>                 Key: MATH-748
>                 URL: https://issues.apache.org/jira/browse/MATH-748
>             Project: Commons Math
>          Issue Type: New Feature
>    Affects Versions: 3.1
>            Reporter: Thomas Neidhart
>            Assignee: Thomas Neidhart
>            Priority: Minor
>              Labels: clustering
>             Fix For: 3.2
>
>         Attachments: MATH-748.txt
>
>
> CM currently contains one clustering algorithm (k-means++), but I would like to see at least a few other standard algorithms like the following:
>  * HAC
>  * Fuzzy K-Means
>  * SOM
>  * OPTICS
> I have already implementations for the first two ones and could contribute them quite easily. Data clustering does not really qualify as low-level math functions so its up to the community to decide whether we want to include also more machine learning related algorithms (also related to classification algos).

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