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From "Luc Maisonobe (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-917) More distance measurements are needed in o.a.c.m.stat.clustering.
Date Sat, 23 Mar 2013 16:47:15 GMT

    [ https://issues.apache.org/jira/browse/MATH-917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13611765#comment-13611765
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Luc Maisonobe commented on MATH-917:
------------------------------------

I like this design very much. It is clear, simple and the separation between distance and
point is really an interesting feature.

The only remarks I have concern the naming of the Clusterable interface methods. Wouldn't
it be easier to understand if dataSize were renamed dimension and value were renamed element
or component?

The javadoc for DoublePoint is wrong, it mentions integer coordinates rather than double coordinates.

+1 to add this and deprecate the whole stat.clustering package.
                
> More distance measurements are needed in o.a.c.m.stat.clustering.
> -----------------------------------------------------------------
>
>                 Key: MATH-917
>                 URL: https://issues.apache.org/jira/browse/MATH-917
>             Project: Commons Math
>          Issue Type: Improvement
>            Reporter: Reid Hochstedler
>             Fix For: 4.0
>
>         Attachments: clustering.zip
>
>
> Currently only Euclidean distance is used for distance measurement, it would be easy
to quickly add Manhattan and Chebyshev distance among others.

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