ITK  4.4.0
Insight Segmentation and Registration Toolkit
Namespaces | Classes
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