ITK  5.2.0
Insight Toolkit
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 *) constitk::Object
AddObserver(const EventObject &event, std::function< void(const EventObject &)> function) constitk::Object
BreakOnError()itk::LightObjectstatic
CentroidType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
ClusterLabelsType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
ConstPointer typedefitk::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() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
DebugOff() constitk::Objectvirtual
DebugOn() constitk::Objectvirtual
Delete()itk::LightObjectvirtual
DistanceToCentroidMembershipFunctionPointer typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
DistanceToCentroidMembershipFunctionType typedefitk::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() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetCentroidPositionChangesThreshold() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetClosestCandidate(ParameterType &measurements, std::vector< int > &validIndexes)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
GetCommand(unsigned long tag)itk::Object
GetCurrentIteration() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetDebug() constitk::Object
GetGlobalWarningDisplay()itk::Objectstatic
GetKdTree() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
GetMaximumIteration() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetMeasurementVectorSize() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetMetaDataDictionary()itk::Object
GetMetaDataDictionary() constitk::Object
GetMTime() constitk::Objectvirtual
GetNameOfClass() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetObjectName() constitk::Objectvirtual
GetOutput() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
GetParameters() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GetPoint(ParameterType &point, MeasurementVectorType measurements)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
GetReferenceCount() constitk::LightObjectinlinevirtual
GetSumOfSquaredPositionChanges(InternalParametersType &previous, InternalParametersType &current)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
GetTimeStamp() constitk::Objectvirtual
GetUseClusterLabels() constitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
GlobalWarningDisplayOff()itk::Objectinlinestatic
GlobalWarningDisplayOn()itk::Objectinlinestatic
HasObserver(const EventObject &event) constitk::Object
InstanceIdentifier typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
InternalClone() constitk::LightObjectprotectedvirtual
InternalParametersType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) constitk::Object
IsFarther(ParameterType &pointA, ParameterType &pointB, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
itkCloneMacro(Self)itk::LightObject
itkGetGlobalDeclarationMacro(bool, GlobalWarningDisplay)itk::Objectprivate
KdTreeBasedKmeansEstimator()itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
KdTreeNodeType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
LightObject()itk::LightObjectprotected
m_CandidateVectoritk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_CentroidPositionChangesitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_CentroidPositionChangesThresholditk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_ClusterLabelsitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_CurrentIterationitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_Debugitk::Objectmutableprivate
m_DistanceMetricitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_GenerateClusterLabelsitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_GlobalWarningDisplayitk::Objectprivatestatic
m_KdTreeitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_MaximumIterationitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_MeasurementVectorSizeitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_MembershipFunctionsObjectitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_MetaDataDictionaryitk::Objectmutableprivate
m_MTimeitk::Objectmutableprivate
m_ObjectNameitk::Objectprivate
m_Parametersitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_ReferenceCountitk::LightObjectmutableprotected
m_SubjectImplementationitk::Objectprivate
m_TempVertexitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
m_UseClusterLabelsitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >private
MeasurementType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MeasurementVectorSizeType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MeasurementVectorType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionPointer typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorObjectPointer typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorObjectType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
MembershipFunctionVectorType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Modified() constitk::Objectvirtual
New()itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >static
Object()itk::Objectprotected
ParametersType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
ParameterType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Pointer typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Print(std::ostream &os, Indent indent=0) constitk::LightObject
PrintHeader(std::ostream &os, Indent indent) constitk::LightObjectprotectedvirtual
PrintObservers(std::ostream &os, Indent indent) constitk::Objectprotected
PrintPoint(ParameterType &point)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
PrintSelf(std::ostream &os, Indent indent) const overrideitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) constitk::LightObjectprotectedvirtual
Register() const overrideitk::Objectvirtual
RemoveAllObservers()itk::Object
RemoveObserver(unsigned long tag)itk::Object
SampleType typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Self typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
SetCentroidPositionChangesThreshold(double _arg)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
SetDebug(bool debugFlag) constitk::Object
SetGlobalWarningDisplay(bool flag)itk::Objectstatic
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::Objectvirtual
SetParameters(ParametersType _arg)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
SetReferenceCount(int) overrideitk::Objectvirtual
SetTimeStamp(const TimeStamp &time)itk::Objectprotectedvirtual
SetUseClusterLabels(bool _arg)itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >virtual
StartOptimization()itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
Superclass typedefitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >
UnRegister() const noexcept overrideitk::Objectvirtual
~KdTreeBasedKmeansEstimator() override=defaultitk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >protected
~LightObject()itk::LightObjectprotectedvirtual
~Object() overrideitk::Objectprotected