Proposals:Refactoring Statistics Framework 2007 New Statistics Framework: Difference between revisions

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Line 142: Line 142:
Object -> GoodnessOfFitComponentBase
Object -> GoodnessOfFitComponentBase
Object -> CostFunction
Object -> CostFunction
Object -> SampleAlgorithmBase
SampleAlgorithmBase -> GoodnessOfFitFunctionBase
FunctionBase -> MembershipFunctionBase
FunctionBase -> MembershipFunctionBase
FunctionBase -> DistanceMetric
FunctionBase -> DistanceMetric
Line 149: Line 147:
DistanceMetric -> EuclideanDistanceMetric
DistanceMetric -> EuclideanDistanceMetric
MembershipFunctionBase -> DistanceToCentroidMembershipFunction
MembershipFunctionBase -> DistanceToCentroidMembershipFunction
GoodnessOfFitFunctionBase -> LogLikelihoodGoodnessOfFitFunction
SingleValuedCostFunction -> GoodnessOfFitMixtureModelCostFunction
SingleValuedCostFunction -> GoodnessOfFitMixtureModelCostFunction
CostFunction -> SingleValuedCostFunction
CostFunction -> SingleValuedCostFunction

Revision as of 20:49, 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

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

Data Objects

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.

Classifiers (Suggested Design)

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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