[Insight-users] KdTreeBasedKMeansClustering for 3D vector image
Luis Ibanez
luis.ibanez at kitware.com
Wed Dec 1 20:16:09 EST 2010
Hi Sara,
The KdTree should work in N-D.
We tend to do 2D test just because they are
easier to debug, but we probably should add
a 3D one in this case.
Could you tell us more about the behavior of
this class that lead you to believe that is doing
something incorrect ?
A minimal example will be greatly appreciated...
Thanks
Luis
---------------------------------------------
On Wed, Dec 1, 2010 at 7:04 PM, Sara Rolfe <smrolfe at u.washington.edu> wrote:
> Hello,
>
> I'd like to use kd tree k-means clustering on a 3D vector image. I'm
> following along the 1D and 2D examples. I have everything working up to the
> classification step. There I'm running into some issues, so I was wondering
> if there are any 3D or vector examples available for this? Or any reason
> I'm missing why these examples can't be adapted for my case?
>
> Thanks,
> Sara
> _____________________________________
> Powered by www.kitware.com
>
> Visit other Kitware open-source projects at
> http://www.kitware.com/opensource/opensource.html
>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.html
>
> Please keep messages on-topic and check the ITK FAQ at:
> http://www.itk.org/Wiki/ITK_FAQ
>
> Follow this link to subscribe/unsubscribe:
> http://www.itk.org/mailman/listinfo/insight-users
>
More information about the Insight-users
mailing list