Proposals:Refactoring Statistics Framework 2007 New Statistics Framework: Difference between revisions
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SampleAlgorithmBase [shape=box, URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1SampleAlgorithmBase.html"]; | SampleAlgorithmBase [shape=box, URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1SampleAlgorithmBase.html"]; | ||
LogLikelihoodGoodnessOfFitFunction [shape=box, URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1LogLikelihoodGoodnessOfFitFunction.html"]; | LogLikelihoodGoodnessOfFitFunction [shape=box, URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1LogLikelihoodGoodnessOfFitFunction.html"]; | ||
DistanceMetric shape=box, URL="http://public.kitware.com/Insight/Doxygen/html/classitk_1_1Statistics_1_1DistanceMetric.html"]; | |||
Object -> FunctionBase | Object -> FunctionBase | ||
Object -> GoodnessOfFitComponentBase | Object -> GoodnessOfFitComponentBase | ||
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SampleAlgorithmBase -> GoodnessOfFitFunctionBase | SampleAlgorithmBase -> GoodnessOfFitFunctionBase | ||
FunctionBase -> MembershipFunctionBase | FunctionBase -> MembershipFunctionBase | ||
FunctionBase -> DistanceMetric | |||
MembershipFunctionBase -> DistanceMetrics | MembershipFunctionBase -> DistanceMetrics | ||
DistanceMetric -> MahalanobisDistanceMetric | DistanceMetric -> MahalanobisDistanceMetric | ||
Revision as of 20:46, 17 July 2008
Class Manifesto of New Statistics Framework
Summary Table
The classes that integrate the new statistics framework are categorized in the following table
| Conceptual Class | Number |
|---|---|
| Traits | 1 |
| Data Objects | 4 |
| Filters | 11 |
| Total | 16 |
List of Classes per Category
Traits
- MeasurementVectorTraits
Data Objects
- Sample
- ListSample
- Histogram
- Subsample
Filters
- SampleToHistogramFilter
- MeanFilter
- WeightedMeanFilter
- CovarianceFilter
- WeightedCovarianceFilter
- HistogramToTextureFeaturesFilter
- ImageToListSampleFilter
- ScalarImageToCooccurrenceMatrixFilter
- SampleToSubsampleFilter
- SampleClassifierFilter
- NeighborhoodSubsampler
Classifiers (Suggested Design)
Elements
- MembershipFunctionBase
- DistanceToCentroidMembershipFunction (plugs in a DistanceMetric)
- DistanceMetrics
- Euclidean
- Mahalanobis
- 1_1
Filters
- Sample, Array of Membership Functions --> MembershipSample(sample,labels) == SampleClassifierFilter
- Sample, Array of Membership Functions --> GoodnessOfFitComponent (sample,weights) == SampleGoodnessOfFitFilter
Class Diagrams
Traits
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Data Objects
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Filters
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Classifiers (Suggested Design)
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