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Posted to issues@commons.apache.org by "Gilles (JIRA)" <ji...@apache.org> on 2012/12/15 13:30:12 UTC

[jira] [Commented] (MATH-917) More distance measurements are needed in o.a.c.m.stat.clustering.

    [ https://issues.apache.org/jira/browse/MATH-917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13533014#comment-13533014 ] 

Gilles commented on MATH-917:
-----------------------------

These are indeed suitable additions.
However the design of this package is not a settled issue. And in particular, embedding the notion of distance in a "...Point" class does not look right at first sight.

Apart from that, the whole "clustering" package should not be in "stat". We should have a discussion on the "dev" ML about a consistent design of the classification algorithms (cf. MATH-748).

As we are close to the release (and supposedly have been in a feature-freeze for at least two days, even if I did not formally announce it on the ML), I'll not rush to add your latest patches without having a chance to let everyone think about the points which I've just raised.
Sorry or that.

                
> 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: 3.1
>
>
> 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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