itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree > Member List

This is the complete list of members for itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >, including all inherited members.

AddObserver(const EventObject &event, Command *)	itk::Object
AddObserver(const EventObject &event, Command *) const	itk::Object
AddObserver(const EventObject &event, std::function< void(const EventObject &)> function) const	itk::Object
BreakOnError()	itk::LightObject	static
CentroidType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Clone() const	itk::LightObject	inline
ClusterLabelsType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
ConstPointer typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
CopyParameters(InternalParametersType &source, InternalParametersType &target)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
CopyParameters(ParametersType &source, InternalParametersType &target)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
CopyParameters(InternalParametersType &source, ParametersType &target)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
CreateAnother() const override	itk::Object	virtual
DebugOff() const	itk::Object	virtual
DebugOn() const	itk::Object	virtual
Delete()	itk::LightObject	virtual
DistanceToCentroidMembershipFunctionPointer typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
DistanceToCentroidMembershipFunctionType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
FillClusterLabels(KdTreeNodeType *node, int closestIndex)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
Filter(KdTreeNodeType *node, std::vector< int > validIndexes, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
GetCentroidPositionChanges() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetCentroidPositionChangesThreshold() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetClosestCandidate(ParameterType &measurements, std::vector< int > &validIndexes)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
GetCommand(unsigned long tag)	itk::Object
GetCurrentIteration() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetDebug() const	itk::Object
GetGlobalWarningDisplay()	itk::Object	static
GetKdTree() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
GetMaximumIteration() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetMeasurementVectorSize() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetMetaDataDictionary()	itk::Object
GetMetaDataDictionary() const	itk::Object
GetMTime() const	itk::Object	virtual
GetNameOfClass() const override	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetObjectName() const	itk::Object	virtual
GetOutput() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
GetParameters() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GetPoint(ParameterType &point, MeasurementVectorType measurements)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
GetReferenceCount() const	itk::LightObject	inlinevirtual
GetSumOfSquaredPositionChanges(InternalParametersType &previous, InternalParametersType &current)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
GetTimeStamp() const	itk::Object	virtual
GetUseClusterLabels() const	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
GlobalWarningDisplayOff()	itk::Object	inlinestatic
GlobalWarningDisplayOn()	itk::Object	inlinestatic
HasObserver(const EventObject &event) const	itk::Object
InstanceIdentifier typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
InternalClone() const	itk::LightObject	protectedvirtual
InternalParametersType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
InvokeEvent(const EventObject &)	itk::Object
InvokeEvent(const EventObject &) const	itk::Object
IsFarther(ParameterType &pointA, ParameterType &pointB, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
itkGetGlobalDeclarationMacro(bool, GlobalWarningDisplay)	itk::Object	private
KdTreeBasedKmeansEstimator()	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
KdTreeNodeType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
LightObject()	itk::LightObject	protected
m_CandidateVector	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_CentroidPositionChanges	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_CentroidPositionChangesThreshold	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_ClusterLabels	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_CurrentIteration	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_Debug	itk::Object	mutableprivate
m_DistanceMetric	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_GenerateClusterLabels	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_GlobalWarningDisplay	itk::Object	privatestatic
m_KdTree	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_MaximumIteration	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_MeasurementVectorSize	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_MembershipFunctionsObject	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_MetaDataDictionary	itk::Object	mutableprivate
m_MTime	itk::Object	mutableprivate
m_ObjectName	itk::Object	private
m_Parameters	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_ReferenceCount	itk::LightObject	mutableprotected
m_SubjectImplementation	itk::Object	mutableprivate
m_TempVertex	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
m_UseClusterLabels	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	private
MeasurementType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MeasurementVectorSizeType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MeasurementVectorType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionPointer typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorObjectPointer typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorObjectType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Modified() const	itk::Object	virtual
New()	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	static
Object()	itk::Object	protected
ParametersType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
ParameterType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Pointer typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Print(std::ostream &os, Indent indent=0) const	itk::LightObject
PrintHeader(std::ostream &os, Indent indent) const	itk::LightObject	protectedvirtual
PrintObservers(std::ostream &os, Indent indent) const	itk::Object	protected
PrintPoint(ParameterType &point)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
PrintSelf(std::ostream &os, Indent indent) const override	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) const	itk::LightObject	protectedvirtual
Register() const override	itk::Object	virtual
RemoveAllObservers()	itk::Object
RemoveObserver(unsigned long tag)	itk::Object
SampleType typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Self typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
SetCentroidPositionChangesThreshold(double _arg)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
SetDebug(bool debugFlag) const	itk::Object
SetGlobalWarningDisplay(bool val)	itk::Object	static
SetKdTree(TKdTree *tree)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
SetMaximumIteration(int _arg)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
SetMetaDataDictionary(const MetaDataDictionary &rhs)	itk::Object
SetMetaDataDictionary(MetaDataDictionary &&rrhs)	itk::Object
SetObjectName(std::string _arg)	itk::Object	virtual
SetParameters(ParametersType _arg)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
SetReferenceCount(int) override	itk::Object	virtual
SetTimeStamp(const TimeStamp &timeStamp)	itk::Object	protectedvirtual
SetUseClusterLabels(bool _arg)	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
StartOptimization()	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Superclass typedef	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
UnRegister() const noexcept override	itk::Object	virtual
UseClusterLabelsOn()	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	virtual
~KdTreeBasedKmeansEstimator() override=default	itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >	protected
~LightObject()	itk::LightObject	protectedvirtual
~Object() override	itk::Object	protected