Proposals:Refactoring Statistics Framework 2007 Class Manifesto
From KitwarePublic
Jump to navigationJump to search
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 Refactored (same name)
- Histogram Refactored (same name)
- VariableDimensionHistogram Refactored (now provided as Histrogram)
- ListSampleBase Deprecated!
- ListSample Refactored (same name)
- Sample Refactored (same name) (now derives from DataObject)
- Subsample Refactored (same name)(identifiers do not refer to sample anymore)
- MembershipSample Refactored In Progress (same name. does not derive from sample anymore)
Frequency Containers
- DenseFrequencyContainer Refactored (DenseFrequencyContainer2)
- SparseFrequencyContainer Refactored (SparseFrequencyContainer2)
Note: The names of the frequency containers were suffixed by 2 to make them different from the frequency containers in ITK CVS to avoid linking problem with the ITKStatistics library Migration Instructions
Process Objects
- SampleClassifier Refactored (as SampleClassifierFilter )
- SampleClassifierWithMaskWill be Refactored (as SampleClassifierWithMaskFilter ) PENDING
Traits
- MeasurementVectorTraits Refactored (same name)
MeanShift
- HypersphereKernelMeanShiftModeSeeker PENDING
- MeanShiftModeCacheMethod PENDING
- MeanShiftModeSeekerBase PENDING
Adaptors
- ImageToCooccurrenceListAdaptor Refactored ( now ScalarImageToCoocurrenceListSampleFilter )
- ImageToListAdaptor Refactored ( now ImageToListSampleAdaptor )
- JointDomainImageToListAdaptor Refactored ( now JointDomainImageToListSampleAdaptor )
- PointSetToListAdaptor Refactored ( now PointSetToListSampleAdaptor )
- ScalarImageToListAdaptor Deprecated!
Univariate Distributions
- ChiSquareDistribution COPIED
- GaussianDistribution COPIED
- ProbabilityDistribution COPIED
- TDistribution COPIED
Algorithms
- SampleAlgorithmBase Deprecated!
- StatisticsAlgorithm COPIED
- NeighborhoodSampler Refactored (must be renamed as NeighborhoodExtractionSampleFilter?)
Calculators
- CovarianceCalculator Refactored (now CovarianceSampleFilter : ProcessObject)
- GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator Refactored (now HistogramToTextureFeaturesFilter : ProcessObject)
- MeanCalculator Refactored (now MeanSampleFilter : ProcessObject)
- ScalarImageTextureCalculator Refactored (now ScalarImageToTextureFeaturesFilter : ProcessObject)
- WeightedCovarianceCalculator Refactored (now WeightedCovarianceSampleFilter : ProcessObject)
- WeightedMeanCalculator Refactored (now WeightedMeanSampleFilter : ProcessObject)
Generators
- ImageToHistogramGenerator Refactored (now ImageToHistogramFilter)
- ImageToListGenerator Refactored (now ImageToListSampleFilter)
- KdTreeGenerator COPIED
- ListSampleToHistogramGenerator Refactored (now SampleToHistogramFilter)
- MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator Deprecated! (now managed by the ScalarImageToCooccurrenceMatrixFilter )
- MembershipSampleGenerator Deprecated! (it should have been a type of Classifier filter .. to be implemented, Low priority)
- NormalVariateGenerator Will stay as the only Generators
- RandomVariateGeneratorBase Will stay as the only Generators
- ScalarImageToGreyLevelCooccurrenceMatrixGenerator Refactored (now ScalarImageToCooccurrenceMatrixFilter )
- ScalarImageToHistogramGenerator Refactored (now ImageToHistogramFilter)
- SelectiveSubsampleGenerator Refactored (to be implemented as a type of SubsampleFilter)
- WeightedCentroidKdTreeGenerator COPIED
Filters
- HistogramToEntropyImageFilter PENDING
- HistogramToImageFilter PENDING
- HistogramToIntensityImageFilter PENDING
- HistogramToLogProbabilityImageFilter PENDING
- HistogramToProbabilityImageFilter PENDING
- ListSampleToHistogramFilter Refactored (now SampleToHistogramFilter)
- SampleMeanShiftBlurringFilter PENDING
- SampleMeanShiftClusteringFilter PENDING
- SampleSelectiveMeanShiftBlurringFilter PENDING
- SampleToHistogramProjectionFilter PENDING
Multivariate Density Functions
- DensityFunction Deprecated!
- DistanceToCentroidMembershipFunction Refactored
- GaussianDensityFunction Refactored (and renamed as GaussianMembershipFunction)
- GoodnessOfFitFunctionBase Deprecated! (has never been used in the toolkit) (to keep ?)
- GoodnessOfFitMixtureModelCostFunction Deprecated! (has never been used in the toolkit)(to keep ?)
- LogLikelihoodGoodnessOfFitFunction Deprecated! (has never been used in the toolkit)(to keep ?)
- MahalanobisDistanceMembershipFunction Deprecated! (functionality provided by the MembershipFunction + MahalanobisDistance)
- MembershipFunctionBase Refactored (same name)
Distance Metrics
- DistanceMetric Refactored
- EuclideanDistance Refactored (now EuclideanDistanceMetric)
Decision rules
- DecisionRuleBase Refactored (now DecisionRule)
- MinimumDecisionRule Refactored (same name +2)
- MaximumDecisionRule Refactored (same name +2)
- MaximumRatioDecisionRule Refactored (same name +2)
Components
- GaussianGoodnessOfFitComponent PENDING
- GaussianMixtureModelComponent Refactored (review comment at end of .txx)
- GoodnessOfFitComponentBase PENDING
- MixtureModelComponentBase Refactored (same name)
Estimators
- ExpectationMaximizationMixtureModelEstimator Refactored
- KdTreeBasedKmeansEstimator Refactored
Class Diagrams
Measurement Containers
Frequency Containers
Process Objects
Traits
MeanShift
Adaptors
Univariate Distributions
Algorithms
Calculators
API
- SetInputSample()
- GetInputSample()
- GetMeasurementVectorSize()
- SetMeasurementVectorSize()
- Update()
- GenerateData()
- GetOutput()
Class Diagram
Generators
API
- SetInput() / SetSample()
- GetImput()
- SetClassMask()
- GetClassMask()
- GenerateData()
- GetOutput()
Class Diagram
Filters
Multivariate Density Functions
Distance Metrics
Components
Estimators
