Cluster streamlines based on Mahalanobis distance metric and K-Means clustering.
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#include <vtkvmtkStreamlineClusteringFilter.h>
Cluster streamlines based on Mahalanobis distance metric and K-Means clustering.
- Date
- 2006/07/17 09:53:14
- Revision
- 1.5
This class clusters streamlines.
Definition at line 35 of file vtkvmtkStreamlineClusteringFilter.h.
◆ Superclass
◆ vtkvmtkStreamlineClusteringFilter()
vtkvmtkStreamlineClusteringFilter::vtkvmtkStreamlineClusteringFilter |
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◆ ~vtkvmtkStreamlineClusteringFilter()
vtkvmtkStreamlineClusteringFilter::~vtkvmtkStreamlineClusteringFilter |
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◆ IsTypeOf()
static int vtkvmtkStreamlineClusteringFilter::IsTypeOf |
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const char * |
type | ) |
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◆ IsA()
virtual int vtkvmtkStreamlineClusteringFilter::IsA |
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const char * |
type | ) |
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◆ SafeDownCast()
◆ NewInstanceInternal()
virtual vtkObjectBase* vtkvmtkStreamlineClusteringFilter::NewInstanceInternal |
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const |
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protectedvirtual |
◆ NewInstance()
◆ PrintSelf()
void vtkvmtkStreamlineClusteringFilter::PrintSelf |
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ostream & |
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vtkIndent |
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◆ New()
◆ GetClusterCenters()
virtual vtkPolyData* vtkvmtkStreamlineClusteringFilter::GetClusterCenters |
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◆ RequestData()
virtual int vtkvmtkStreamlineClusteringFilter::RequestData |
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vtkInformation * |
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vtkInformationVector ** |
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vtkInformationVector * |
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◆ ClusterCenters
vtkPolyData* vtkvmtkStreamlineClusteringFilter::ClusterCenters |
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protected |
The documentation for this class was generated from the following file: