math KMeansPlusPlusClusterer Failing unittest

[VanIngen, Erik (ESTG)]

Hi all,

I have a problem with KMeansPlusPlusClusterer in the trunk. See below for the
unittest. Am I doing something wrong here or is there a bug?

Kind Regards,
Erik




@Test
    public void testPerformClusterAnalysis2() {
        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 }),
        };
        List<Cluster<EuclideanIntegerPoint>> clusters =
            transformer.cluster(Arrays.asList(points), 1, 1);
        assertEquals(1, clusters.size());

    }

[Ted Dunning]

Can you say more about exactly what problem you are having?

On Tue, Oct 20, 2009 at 2:54 AM, VanIngen, Erik (FIES) <
[hidden email]> wrote:

> Hi all,
>
> I have a problem with KMeansPlusPlusClusterer in the trunk. See below for
> the
> unittest. Am I doing something wrong here or is there a bug?
>
> Kind Regards,
> Erik
>
>
>
>
> @Test
>    public void testPerformClusterAnalysis2() {
>        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
> }),
>        };
>        List<Cluster<EuclideanIntegerPoint>> clusters =
>            transformer.cluster(Arrays.asList(points), 1, 1);
>        assertEquals(1, clusters.size());
>
>    }
>
>

--
Ted Dunning, CTO
DeepDyve

[mgainty]

can we see the import statement for Test?
thanks,
Martin
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> From: [hidden email]
> Date: Tue, 20 Oct 2009 09:50:21 -0700
> Subject: Re: math KMeansPlusPlusClusterer Failing unittest
> To: [hidden email]
>
> Can you say more about exactly what problem you are having?
>
> On Tue, Oct 20, 2009 at 2:54 AM, VanIngen, Erik (FIES) <
> [hidden email]> wrote:
>
> > Hi all,
> >
> > I have a problem with KMeansPlusPlusClusterer in the trunk. See below for
> > the
> > unittest. Am I doing something wrong here or is there a bug?
> >
> > Kind Regards,
> > Erik
> >
> >
> >
> >
> > @Test
> >    public void testPerformClusterAnalysis2() {
> >        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
> > }),
> >        };
> >        List<Cluster<EuclideanIntegerPoint>> clusters =
> >            transformer.cluster(Arrays.asList(points), 1, 1);
> >        assertEquals(1, clusters.size());
> >
> >    }
> >
> >
>
>
> --
> Ted Dunning, CTO
> DeepDyve

     
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[Phil Steitz]

VanIngen, Erik (FIES) wrote:
> Hi all,
>
> I have a problem with KMeansPlusPlusClusterer in the trunk. See below for the
> unittest. Am I doing something wrong here or is there a bug?

This looks like a bug.  I get an NPE running the test, which should
succeed.  If you don't mind opening a JIRA ticket for this, that
would be appreciated.  Thanks for reporting this.

Phil

>
> Kind Regards,
> Erik
>
>
>
>
> @Test
>     public void testPerformClusterAnalysis2() {
>         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 }),
>         };
>         List<Cluster<EuclideanIntegerPoint>> clusters =
>             transformer.cluster(Arrays.asList(points), 1, 1);
>         assertEquals(1, clusters.size());
>
>     }
>
>

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[VanIngen, Erik (ESTG)]

Good point, I just have created a JIRA ticket for this:
https://issues.apache.org/jira/browse/MATH-305



-----Original Message-----
From: Phil Steitz [mailto:[hidden email]]
Sent: 21 October 2009 12:44
To: Commons Users List
Subject: [math] Re: math KMeansPlusPlusClusterer Failing unittest


VanIngen, Erik (FIES) wrote:
> Hi all,
>
> I have a problem with KMeansPlusPlusClusterer in the trunk. See below
> for the unittest. Am I doing something wrong here or is there a bug?

This looks like a bug.  I get an NPE running the test, which should succeed.
If you don't mind opening a JIRA ticket for this, that would be appreciated.
Thanks for reporting this.

Phil

>
> Kind Regards,
> Erik
>
>
>
>
> @Test
>     public void testPerformClusterAnalysis2() {
>         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 }),
>         };
>         List<Cluster<EuclideanIntegerPoint>> clusters =
>             transformer.cluster(Arrays.asList(points), 1, 1);
>         assertEquals(1, clusters.size());
>
>     }
>
>

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