Proposals:Refactoring Statistics Framework 2007 Class Manifesto: Difference between revisions
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* Histogram | * Histogram | ||
* VariableDimensionHistogram | * VariableDimensionHistogram | ||
* ListSampleBase | * ListSampleBase <font style="color: #8b0000;">'''Deprecated!'''</font> | ||
* ListSample | * ListSample <font style="color: #006400;">'''Refactored'''</font> | ||
* Sample | * Sample <font style="color: #006400;">'''Refactored'''</font> (same name) (now derives from DataObject) | ||
* Subsample | * Subsample <font style="color: #006400;">'''Refactored'''</font> (same name)(identifiers do not refer to sample anymore) | ||
* MembershipSample | * MembershipSample <font style="color: #006400;">'''Refactored'''</font> (same name. does not derive from sample anymore) | ||
=== Frequency Containers === | === Frequency Containers === | ||
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=== Traits === | === Traits === | ||
* MeasurementVectorTraits | * MeasurementVectorTraits <font style="color: #006400;">'''Refactored'''</font> (same name) | ||
=== MeanShift === | === MeanShift === | ||
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=== Adaptors === | === Adaptors === | ||
* ImageToCooccurrenceListAdaptor | * ImageToCooccurrenceListAdaptor | ||
* ImageToListAdaptor | * ImageToListAdaptor | ||
* JointDomainImageToListAdaptor | * JointDomainImageToListAdaptor | ||
* PointSetToListAdaptor | * PointSetToListAdaptor | ||
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* ImageToHistogramGenerator | * ImageToHistogramGenerator | ||
* ImageToListGenerator | * ImageToListGenerator <font style="color: #006400;">'''Refactored'''</font> (now ImageToListSampleFilter) | ||
* KdTreeGenerator | * KdTreeGenerator | ||
* ListSampleToHistogramGenerator | * ListSampleToHistogramGenerator <font style="color: #006400;">'''Refactored'''</font> (now ListSampleToHistogramFilter) | ||
* MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator | * MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator | ||
* MembershipSampleGenerator | * MembershipSampleGenerator <font style="color: #8b0000;">'''Deprecated!'''</font> | ||
* NormalVariateGenerator | * NormalVariateGenerator | ||
* RandomVariateGeneratorBase | * RandomVariateGeneratorBase | ||
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* ExpectationMaximizationMixtureModelEstimator | * ExpectationMaximizationMixtureModelEstimator | ||
* KdTreeBasedKmeansEstimator | * KdTreeBasedKmeansEstimator | ||
= Class Diagrams = | = Class Diagrams = | ||
Revision as of 20:13, 16 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)
Frequency Containers
- DenseFrequencyContainer
- SparseFrequencyContainer
Process Objects
- SampleClassifier
- SampleClassifierWithMask
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
- MeanCalculator
- ScalarImageTextureCalculator
- WeightedCovarianceCalculator
- WeightedMeanCalculator
Generators
- ImageToHistogramGenerator
- ImageToListGenerator Refactored (now ImageToListSampleFilter)
- KdTreeGenerator
- ListSampleToHistogramGenerator Refactored (now ListSampleToHistogramFilter)
- MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
- 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
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
