[jira] [Updated] (MATH-436) KMeansPlusPlusClusterer Exception when clusters>variables

["Thomas Neidhart (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Thomas Neidhart updated MATH-436:
---------------------------------

    Attachment: MATH-436.patch

patch for MATH-436 wish.

> KMeansPlusPlusClusterer Exception when clusters>variables
> ---------------------------------------------------------
>
>                 Key: MATH-436
>                 URL: https://issues.apache.org/jira/browse/MATH-436
>             Project: Commons Math
>          Issue Type: Wish
>    Affects Versions: 3.0
>            Reporter: Erik van Ingen
>            Priority: Minor
>             Fix For: 3.0
>
>         Attachments: MATH-436.patch
>
>   Original Estimate: 0.25h
>  Remaining Estimate: 0.25h
>
> It would be nice when KMeansPlusPlusClusterer generates an exception when the number of cluster is larger than the number of variables. 
> KMeansPlusPlusClustererTest:
>  /**
>      * 2 variables cannot be clustered into 3 clusters.
>      */
>     @Test
>     public void testPerformClusterAnalysisToManyClusters() {
>         KMeansPlusPlusClusterer<EuclideanIntegerPoint> transformer = new KMeansPlusPlusClusterer<EuclideanIntegerPoint>(
>                 new Random(1746432956321l));
>         EuclideanIntegerPoint[] points = new EuclideanIntegerPoint[] {
>                 new EuclideanIntegerPoint(new int[] { 1959, 325100 }),
>                 new EuclideanIntegerPoint(new int[] { 1960, 373200 }), };
>         try {
>             transformer.cluster(Arrays.asList(points), 3, 1);
>             Assert.fail();
>         } catch (Exception e) {
>             // 2 variables cannot be clustered into 3 clusters.
>         }
>     }

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