Proposals:Refactoring Statistics Framework 2007 Class Manifesto: Difference between revisions
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* JointDomainImageToListAdaptor <font style="color: #006400;">'''Refactored '''</font> ( now JointDomainImageToListSampleAdaptor ) | * JointDomainImageToListAdaptor <font style="color: #006400;">'''Refactored '''</font> ( now JointDomainImageToListSampleAdaptor ) | ||
* PointSetToListAdaptor <font style="color: #006400;">'''Refactored '''</font> ( now PointSetToListSampleAdaptor ) | * PointSetToListAdaptor <font style="color: #006400;">'''Refactored '''</font> ( now PointSetToListSampleAdaptor ) | ||
* ScalarImageToListAdaptor | * ScalarImageToListAdaptor <font style="color: #8b0000;">'''Deprecated!'''</font> | ||
[[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Adaptors | Migration Instructions ]] | [[Proposals:Refactoring Statistics Framework 2007 Migration Users Guide #Adaptors | Migration Instructions ]] | ||
Revision as of 17:28, 5 May 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)
Frequency Containers
- DenseFrequencyContainer
- SparseFrequencyContainer
Process Objects
- SampleClassifier
- SampleClassifierWithMask
Traits
- MeasurementVectorTraits Refactored (same name)
MeanShift
- HypersphereKernelMeanShiftModeSeeker
- MeanShiftModeCacheMethod
- MeanShiftModeSeekerBase
Adaptors
- ImageToCooccurrenceListAdaptor
- ImageToListAdaptor Refactored ( now ImageToListSampleAdaptor )
- JointDomainImageToListAdaptor Refactored ( now JointDomainImageToListSampleAdaptor )
- PointSetToListAdaptor Refactored ( now PointSetToListSampleAdaptor )
- ScalarImageToListAdaptor Deprecated!
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 SampleToHistogramFilter)
- 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
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Frequency Containers
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Process Objects
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Traits
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MeanShift
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Adaptors
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Univariate Distributions
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Algorithms
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Calculators
API
- SetInputSample()
- GetInputSample()
- GetMeasurementVectorSize()
- SetMeasurementVectorSize()
- Update()
- GenerateData()
- GetOutput()
Class Diagram
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Generators
API
- SetInput() / SetSample()
- GetImput()
- SetClassMask()
- GetClassMask()
- GenerateData()
- GetOutput()
Class Diagram
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Filters
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Multivariate Density Functions
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Distance Metrics
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Components
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Estimators
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