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itk::Statistics Namespace Reference


Compounds

class  Iterator
class  Iterator
class  Iterator
struct  Candidate
class  CandidateVector
class  CovarianceCalculator
 Calculates the covariance matrix of the target sample data. More...

class  DenseFrequencyContainer
 his class is a container for an histogram. More...

class  DensityFunction
 DensityFunction class defines common interfaces for density functions. More...

class  DistanceMetric
 this class declares common interfaces for distance functions. More...

class  DistanceToCentroidMembershipFunction
 DistanceToCentroidMembershipFunction class represents DistanceToCentroid Density Function. More...

class  EuclideanDistance
class  ExpectationMaximizationMixtureModelEstimator
 Integration point for MembershipCalculator, DecisionRule, and target sample data. More...

class  GaussianDensityFunction
 GaussianDensityFunction class represents Gaussian Density Function. More...

class  GaussianGoodnessOfFitComponent
 provides implemenations of GoodnessOfFitComponentBase's methods for a Gaussian component. More...

class  GaussianMixtureModelComponent
 calculates sample mean. More...

class  GoodnessOfFitComponentBase
 provides component (module) type specific functionalities for GoodnessOfFitMixtureModelCostFunction. More...

class  GoodnessOfFitFunctionBase
 base class for classes calculates different types of goodness-of-fit statistics. More...

class  GoodnessOfFitMixtureModelCostFunction
 calculates the goodness-of-fit statstics for multivarate mixture model. More...

class  Histogram
 This class stores measurement vectors in the context of n-dimensional histogram. More...

class  Iterator
class  ImageToListAdaptor
 This class provides ListSample interfaces to ITK Image. More...

class  Iterator
class  KdTree
 KdTree. More...

class  KdTreeBasedKmeansEstimator
 fast k-means algorithm implementation using k-d tree structure. More...

class  KdTreeGenerator
 KdTreeGenerator. More...

struct  KdTreeNode
struct  KdTreeNonterminalNode
struct  KdTreeTerminalNode
struct  KdTreeWeightedCenteroidNonterminalNode
class  NearestNeighbors
class  ListSample
 This class is the base class for containers that have a list of measurement vectors. More...

class  ListSampleToHistogramFilter
 Imports data from ListSample object to Histogram object. More...

class  LogLikelihoodGoodnessOfFitFunction
 calculates loglikelihood ratio statistics. More...

class  MahalanobisDistanceMembershipFunction
 MahalanobisDistanceMembershipFunction class represents MahalanobisDistance Density Function. More...

class  MaxDecisionRule
 A Decision rule that choose the class that has maximum value. More...

class  MeanCalculator
 calculates sample mean. More...

class  MembershipFunctionBase
 MembershipFunctionBase class declares common interfaces for membership functions. More...

class  MembershipSample
 Container for storing the instance-identifiers of other sample with their associated class labels. More...

class  MembershipSampleGenerator
 MembershipSampleGenerator generates a MembershipSample object using a class mask sample. More...

class  MixtureModelComponentBase
 base class for distribution modules that supports analytical way to update the distribution parameters. More...

class  NeighborhoodSampler
 generates a Subsample that is sampled from the input sample using a spherical kernel. More...

class  NormalVariateGenerator
 Normal random variate generator. More...

class  PointSetToListAdaptor
 This class provides ListSample interfaces to ITK Image. More...

class  PSquareQuantile
 Raj Jain's P-Square algorithm implementation. More...

class  RandomVariateGeneratorBase
 this class defines common interfaces for random variate generators. More...

class  Sample
 Sample defines common iterfaces for each subclasses. More...

class  SampleAlgorithmBase
 calculates sample mean. More...

class  SampleClassifier
 Integration point for MembershipCalculator, DecisionRule, and target sample data. More...

class  SampleToHistogramProjectionFilter
 projects measurement vectors on to an axis to generate an 1D histogram. More...

class  SparseFrequencyContainer
 his class is a container for an histogram. More...

class  Subsample
class  TableLookupSampleClassifier
 Integration point for MembershipCalculator, DecisionRule, and target sample data with a pre-calculated look up table. More...

class  WeightedCenteroidKdTreeGenerator
 WeightedCenteroidKdTreeGenerator. More...

class  WeightedCovarianceCalculator
 Calculates the covariance matrix of the target sample data where each measurement vector has an associated weight value. More...

class  WeightedMeanCalculator
 calculates sample mean where each measurement vector has associated weight value. More...


Functions

template<class TSize> TSize FloorLog (TSize size)
template<class TValue> TValue MedianOfThree (const TValue a, const TValue b, const TValue c)
template<class TSample> void FindSampleBound (TSample *sample, typename TSample::Iterator begin, typename TSample::Iterator end, typename TSample::MeasurementVectorType &min, typename TSample::MeasurementVectorType &max)
template<class TSubsample> void FindSampleBoundAndMean (TSubsample *sample, int beginIndex, int endIndex, typename TSubsample::MeasurementVectorType &min, typename TSubsample::MeasurementVectorType &max, typename TSubsample::MeasurementVectorType &mean)
template<class TSubsample> int Partition (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, const typename TSubsample::MeasurementType partitionValue)
template<class TSubsample> TSubsample::MeasurementType QuickSelect (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, int kth, typename TSubsample::MeasurementType medianGuess)
template<class TSubsample> TSubsample::MeasurementType QuickSelect (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, int kth)
template<class TSubsample> void InsertSort (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex)
template<class TSubsample> void DownHeap (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, int node)
template<class TSubsample> void HeapSort (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex)
template<class TSubsample> void IntrospectiveSortLoop (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, int depthLimit, int sizeThreshold)
template<class TSubsample> void IntrospectiveSort (TSubsample *sample, unsigned int activeDimension, int beginIndex, int endIndex, int sizeThreshold)


Function Documentation

template<class TSubsample>
void DownHeap TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
int    node
 

template<class TSample>
void FindSampleBound TSample *    sample,
typename TSample::Iterator    begin,
typename TSample::Iterator    end,
typename TSample::MeasurementVectorType &    min,
typename TSample::MeasurementVectorType &    max
 

template<class TSubsample>
void FindSampleBoundAndMean TSubsample *    sample,
int    beginIndex,
int    endIndex,
typename TSubsample::MeasurementVectorType &    min,
typename TSubsample::MeasurementVectorType &    max,
typename TSubsample::MeasurementVectorType &    mean
 

template<class TSize>
TSize FloorLog TSize    size
 

template<class TSubsample>
void HeapSort TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex
 

template<class TSubsample>
void InsertSort TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex
 

template<class TSubsample>
void IntrospectiveSort TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
int    sizeThreshold
 

template<class TSubsample>
void IntrospectiveSortLoop TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
int    depthLimit,
int    sizeThreshold
 

template<class TValue>
TValue MedianOfThree const TValue    a,
const TValue    b,
const TValue    c
 

template<class TSubsample>
int Partition TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
const typename TSubsample::MeasurementType    partitionValue
 

template<class TSubsample>
TSubsample::MeasurementType QuickSelect TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
int    kth
 

template<class TSubsample>
TSubsample::MeasurementType QuickSelect TSubsample *    sample,
unsigned int    activeDimension,
int    beginIndex,
int    endIndex,
int    kth,
typename TSubsample::MeasurementType    medianGuess
 


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