[Insight-developers] Bug in KdTreeBasedKmeansEstimator ?

[David Doria]

On Tue, Nov 22, 2011 at 2:00 PM, David Doria <daviddoria at gmail.com> wrote:
> I didn't want to file a bug report yet because I'm not 100% sure I'm
> using it right. In this example:
>
> http://www.itk.org/Wiki/ITK/Examples/Statistics/KdTreeBasedKmeansEstimator
>
> You'll see I am trying to cluster 3D points. I believe this line:
>
> EstimatorType::ParametersType initialMeans(2*3);
>
> means that I am trying to produce 2 clusters? Assuming that is
> correct, the question is that if I add 10 points to the sample (which
> I have hard coded into the example) it runs and gives a reasonable
> looking solution. However, if I add 20 points (again hard coded, but
> commented), I get this error:
>
>  what():  /home/doriad/src/ITK/Modules/Numerics/Statistics/include/itkEuclideanDistanceMetric.hxx:66:
> itk::ERROR: EuclideanDistanceMetric(0x8156578): The two measurement
> vectors have unequal size (3 and 0)
>
> Any thoughts as to what would cause this?
>
> Thanks,
>
> David

Any thoughts on this?

David