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https://issues.apache.org/jira/browse/MATH-917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13615180#comment-13615180
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Gilles commented on MATH-917:
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* "Clusterer" should be an "abstract" class (if we are to be consistent with
the changes that have been done for a few years).
* It seems that accessing each component of a "Clusterable" separately is not
efficient, the more so that usually _all_ components are needed. I don't see
the advantage over simply requiring to return a "double[]"; any practical use
case for the proposed API?
* I would not include "IntegerPoint" and "DoublePoint" in the "main"
repository. They should go in the "test" part (if unit tests need them).
> 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_v2.zip, 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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