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

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[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Measurement Container | Migration Instructions ]]
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Measurement Containers | Migration Instructions ]]


=== Frequency Containers ===
=== Frequency Containers ===
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* DenseFrequencyContainer
* DenseFrequencyContainer
* SparseFrequencyContainer
* SparseFrequencyContainer
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Frequency Containers | Migration Instructions ]]


=== Process Objects ===
=== Process Objects ===
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* SampleClassifier
* SampleClassifier
* SampleClassifierWithMask
* SampleClassifierWithMask
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide # Process Objects | Migration Instructions ]]


=== Traits ===
=== Traits ===

Revision as of 14:09, 23 April 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 Deprecated!
  • ListSample Refactored
  • Sample Refactored (same name) (now derives from DataObject)
  • Subsample Refactored (same name)(identifiers do not refer to sample anymore)
  • MembershipSample Refactored (same name. does not derive from sample anymore)


Migration Instructions

Frequency Containers

  • DenseFrequencyContainer
  • SparseFrequencyContainer

Migration Instructions

Process Objects

  • SampleClassifier
  • SampleClassifierWithMask

Migration Instructions

Traits

  • MeasurementVectorTraits Refactored (same name)

MeanShift

  • HypersphereKernelMeanShiftModeSeeker
  • MeanShiftModeCacheMethod
  • MeanShiftModeSeekerBase

Adaptors

  • ImageToCooccurrenceListAdaptor
  • ImageToListAdaptor
  • JointDomainImageToListAdaptor
  • PointSetToListAdaptor
  • ScalarImageToListAdaptor

Univariate Distributions

  • ChiSquareDistribution
  • GaussianDistribution
  • ProbabilityDistribution
  • TDistribution

Algorithms

  • SampleAlgorithmBase
  • StatisticsAlgorithm
  • NeighborhoodSampler

Calculators

  • CovarianceCalculator
  • GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator Refactored (now HistogramToTextureFeaturesFilter : ProcessObject)
  • MeanCalculator Refactored (now MeanFilter : ProcessObject)
  • ScalarImageTextureCalculator
  • WeightedCovarianceCalculator
  • WeightedMeanCalculator Refactored (now WeightedMeanFilter : ProcessObject)

Generators

  • ImageToHistogramGenerator
  • ImageToListGenerator Refactored (now ImageToListSampleFilter)
  • KdTreeGenerator
  • ListSampleToHistogramGenerator Refactored (now ListSampleToHistogramFilter)
  • MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator Deprecated!
  • MembershipSampleGenerator Deprecated!
  • 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

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.


Frequency Containers

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Process Objects

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Traits

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

MeanShift

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Adaptors

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Univariate Distributions

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Algorithms

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Calculators

API

  • SetInputSample()
  • GetInputSample()
  • GetMeasurementVectorSize()
  • SetMeasurementVectorSize()
  • Update()
  • GenerateData()
  • GetOutput()

Class Diagram

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Generators

API

  • SetInput() / SetSample()
  • GetImput()
  • SetClassMask()
  • GetClassMask()
  • GenerateData()
  • GetOutput()

Class Diagram

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Filters

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Multivariate Density Functions

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Distance Metrics

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Components

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Estimators

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

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