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From "Thomas Neidhart (JIRA)" <>
Subject [jira] [Updated] (MATH-917) More distance measurements are needed in o.a.c.m.stat.clustering.
Date Sat, 23 Mar 2013 15:29:15 GMT


Thomas Neidhart updated MATH-917:


I have attached the result of some refactoring of the cluster package.

It includes the following changes/additions:

 * Move distance calculation from the Clusterable interface to a dedicated DistanceMeasure
interface with a first concrete implementation: EuclideanDistance
 * Modify a Cluster to make it more general: remove center as this is only used for centroid
based clustering algos
 * Introduce a Clusterer interface with currently only one method: cluster(Collection<Clusterable>),
but we may add more, e.g. with a maxIterations argument
 * Added an AbstractClusterer class which provides basic stuff for each clusterer, e.g. a
distance measure.
 * The existing clustering algos implement the new interface via the abstract class

I like the Clusterable interface, as it makes it quite easy to extend existing data objects
to make them an input for the clusterer. The simple *Point implementations have been kept
but I am not fully happy with the name.

I would like to get feedback if this goes in the right direction, and if so, will finish the
> More distance measurements are needed in o.a.c.m.stat.clustering.
> -----------------------------------------------------------------
>                 Key: MATH-917
>                 URL:
>             Project: Commons Math
>          Issue Type: Improvement
>            Reporter: Reid Hochstedler
>             Fix For: 4.0
>         Attachments:
> 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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