Proposals:Refactoring Statistics Framework 2007 Class Manifesto: Difference between revisions

From KitwarePublic
Jump to navigationJump to search
Line 184: Line 184:
ListSampleBase -> ListSample;
ListSampleBase -> ListSample;
Object -> KdTree;
Object -> KdTree;
}
</graphviz>
== Frequency Containers ==
<graphviz>
digraph G {
DenseFrequencyContainer [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DenseFrequencyContainer.html"];
SparseFrequencyContainer [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1SparseFrequencyContainer.html"];
KdTree [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1KdTree.html"];
Object [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Object.html"];
Object -> DenseFrequencyContainer
Object -> SparseFrequencyContainer
Object -> KdTree
}
}
</graphviz>
</graphviz>
Line 229: Line 244:


== Estimators ==
== Estimators ==
== Frequency Containers ==
<graphviz>
digraph G {
DenseFrequencyContainer [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DenseFrequencyContainer.html"];
SparseFrequencyContainer [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1SparseFrequencyContainer.html"];
KdTree [shape=box,URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1KdTree.html"];
Object [URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Object.html"];
Object -> DenseFrequencyContainer
Object -> SparseFrequencyContainer
Object -> KdTree
}
</graphviz>

Revision as of 17:18, 26 March 2007

Statistics Class Manifesto

Summary Table

They are categorized in the following table


Conceptual Class Number
Measurement Containers 8
Frequency Containers 2
Process Objects 2
Traits 1
Mean shift 3
Adaptors 5
Univariate Distributions 4
Algorithms 3
Calculators 6
Generators 12
Filters 10
Multivariate Density Functions 8
Distance Metrics 2
Components 4
Estimators 2
Total 72

List of Classes per Category

Measurement Containers



  • KdTree
  • Histogram
  • VariableDimensionHistogram
  • ListSampleBase
  • ListSample
  • Sample
  • Subsample
  • MembershipSample

Frequency Containers

  • DenseFrequencyContainer
  • SparseFrequencyContainer

Process Objects

  • SampleClassifier
  • SampleClassifierWithMask

Traits

  • MeasurementVectorTraits

MeanShift

  • ypersphereKernelMeanShiftModeSeeker
  • MeanShiftModeCacheMethod
  • MeanShiftModeSeekerBase

Adaptors

  • ImageToCooccurrenceListAdaptor
  • ImageToListAdaptor
  • JointDomainImageToListAdaptor
  • PointSetToListAdaptor
  • ScalarImageToListAdaptor

Univariate Distributions

  • ChiSquareDistribution
  • GaussianDistribution
  • ProbabilityDistribution
  • TDistribution

Algorithms

  • SampleAlgorithmBase
  • StatisticsAlgorithm
  • NeighborhoodSampler

Calculators

  • CovarianceCalculator
  • GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator
  • MeanCalculator
  • ScalarImageTextureCalculator
  • WeightedCovarianceCalculator
  • WeightedMeanCalculator

Generators

  • ImageToHistogramGenerator
  • ImageToListGenerator
  • KdTreeGenerator
  • ListSampleToHistogramGenerator
  • MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
  • MembershipSampleGenerator
  • NormalVariateGenerator
  • RandomVariateGeneratorBase
  • ScalarImageToGreyLevelCooccurrenceMatrixGenerator
  • ScalarImageToHistogramGenerator
  • SelectiveSubsampleGenerator
  • WeightedCentroidKdTreeGenerator

Filters

* HistogramToEntropyImageFilter

  • HistogramToImageFilter
  • HistogramToIntensityImageFilter
  • HistogramToLogProbabilityImageFilter
  • HistogramToProbabilityImageFilter
  • ListSampleToHistogramFilter
  • SampleMeanShiftBlurringFilter
  • SampleMeanShiftClusteringFilter
  • SampleSelectiveMeanShiftBlurringFilter
  • SampleToHistogramProjectionFilter

Multivariate Density Functions

* DensityFunction

  • DistanceToCentroidMembershipFunction
  • GaussianDensityFunction
  • GoodnessOfFitFunctionBase
  • GoodnessOfFitMixtureModelCostFunction
  • LogLikelihoodGoodnessOfFitFunction
  • MahalanobisDistanceMembershipFunction
  • MembershipFunctionBase

Distance Metrics

  • DistanceMetric
  • EuclideanDistance

Components

  • GaussianGoodnessOfFitComponent
  • GaussianMixtureModelComponent
  • GoodnessOfFitComponentBase
  • MixtureModelComponentBase

Estimators

  • ExpectationMaximizationMixtureModelEstimator
  • KdTreeBasedKmeansEstimator


Class Diagrams

Measurement Containers

Error writing graphviz file to disk.


Frequency Containers

Error writing graphviz file to disk.

Process Objects

Traits

MeanShift

Adaptors

Error writing graphviz file to disk.

Univariate Distributions

Algorithms

Calculators

Generators

Filters

Multivariate Density Functions

Distance Metrics

Components

Estimators

Retrieved from "https://public.kitware.com/Wiki/index.php?title=Proposals:Refactoring_Statistics_Framework_2007_Class_Manifesto&oldid=8474"