A Mean Shift Clustering Implementation for VTK
Doria, David
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3219
New: Prefer using the following doi: https://doi.org/10.54294/pgbh5i
Published in The VTK Journal - 2010 January - December Submissions.
Submitted by David Doria on 2010-09-23 07:25:27.
Mean shift clustering is an excellent technique for clustering points when the number of clusters is not known. We present a implementation (vtkMeanShiftClustering) of the simplest version of the algorithm written in a VTK context. The code is currently hosted at http://github.com/daviddoria/vtkMeanShiftClustering .
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