itk::Statistics Namespace Reference

Namespaces
namespace	Algorithm

Classes
class	BackPropagationLayer
class	BatchSupervisedTrainingFunction
class	ChiSquareDistribution
class	CompletelyConnectedWeightSet
class	CovarianceSampleFilter
class	DecisionRule
class	DenseFrequencyContainer2
class	DistanceMetric
class	DistanceToCentroidMembershipFunction
class	ErrorBackPropagationLearningFunctionBase
class	ErrorBackPropagationLearningWithMomentum
class	ErrorFunctionBase
class	EuclideanDistanceMetric
class	EuclideanSquareDistanceMetric
class	ExpectationMaximizationMixtureModelEstimator
class	GaussianDistribution
class	GaussianMembershipFunction
class	GaussianMixtureModelComponent
class	GaussianRadialBasisFunction
class	GaussianRandomSpatialNeighborSubsampler
class	GaussianTransferFunction
class	HardLimitTransferFunction
class	Histogram
class	HistogramToRunLengthFeaturesFilter
class	HistogramToTextureFeaturesFilter
class	IdentityTransferFunction
class	ImageClassifierFilter
class	ImageJointDomainTraits
class	ImageToHistogramFilter
class	ImageToListSampleAdaptor
class	ImageToListSampleFilter
class	ImageToNeighborhoodSampleAdaptor
class	InputFunctionBase
class	IterativeSupervisedTrainingFunction
class	JointDomainImageToListSampleAdaptor
class	KdTree
class	KdTreeBasedKmeansEstimator
class	KdTreeGenerator
class	KdTreeNode
class	KdTreeNonterminalNode
class	KdTreeTerminalNode
class	KdTreeWeightedCentroidNonterminalNode
class	LayerBase
class	LearningFunctionBase
class	ListSample
class	LogSigmoidTransferFunction
class	MahalanobisDistanceMembershipFunction
class	MahalanobisDistanceMetric
class	ManhattanDistanceMetric
class	MaskedImageToHistogramFilter
class	MaximumDecisionRule
class	MaximumRatioDecisionRule
class	MeanSampleFilter
class	MeanSquaredErrorFunction
class	MeasurementVectorPixelTraits
class	MeasurementVectorTraits
class	MeasurementVectorTraitsTypes
class	MeasurementVectorTraitsTypes< std::vector< T > >
class	MembershipFunctionBase
class	MembershipSample
class	MersenneTwisterRandomVariateGenerator
class	MinimumDecisionRule
class	MixtureModelComponentBase
class	MultilayerNeuralNetworkBase
class	MultiquadricRadialBasisFunction
class	NeighborhoodSampler
class	NeuralNetworkObject
class	NNetDistanceMetricBase
class	NormalVariateGenerator
class	OneHiddenLayerBackPropagationNeuralNetwork
class	PointSetToListSampleAdaptor
class	ProbabilityDistribution
class	ProductInputFunction
class	QuickPropLearningRule
class	RadialBasisFunctionBase
class	RandomVariateGeneratorBase
class	RBFBackPropagationLearningFunction
class	RBFLayer
class	RBFNetwork
class	RegionConstrainedSubsampler
class	Sample
class	SampleClassifierFilter
class	SampleToHistogramFilter
class	SampleToSubsampleFilter
class	ScalarImageToCooccurrenceListSampleFilter
class	ScalarImageToCooccurrenceMatrixFilter
class	ScalarImageToHistogramGenerator
class	ScalarImageToRunLengthFeaturesFilter
class	ScalarImageToRunLengthMatrixFilter
class	ScalarImageToTextureFeaturesFilter
class	SigmoidTransferFunction
class	SignedHardLimitTransferFunction
class	SparseFrequencyContainer2
class	SpatialNeighborSubsampler
class	SquaredDifferenceErrorFunction
class	StandardDeviationPerComponentSampleFilter
class	Subsample
class	SubsamplerBase
class	SumInputFunction
class	SymmetricSigmoidTransferFunction
class	TanHTransferFunction
class	TanSigmoidTransferFunction
class	TDistribution
class	TrainingFunctionBase
class	TransferFunctionBase
class	TwoHiddenLayerBackPropagationNeuralNetwork
class	UniformRandomSpatialNeighborSubsampler
class	VectorContainerToListSampleAdaptor
class	WeightedCentroidKdTreeGenerator
class	WeightedCovarianceSampleFilter
class	WeightedMeanSampleFilter
class	WeightSetBase