Proposals:Refactoring Statistics Framework 2007 List of Classifier Related Classes: Difference between revisions

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| itkDecisionRuleBase || Decision || itkDecision
| itkDecisionRuleBase || Decision || itkDecision
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itkScalarImageKmeansImageFilter
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itkImageClassifierBase
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itkScalarImageKmeansImageFilter
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itkImageClassifierBase
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itkRGBGibbsPriorFilter
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itkBayesianClassifierImageFilter
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itkClassifierBase
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itkMRFImageFilter
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itkBayesianClassifierInitializationImageFilter
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itkSampleClassifierWithMask
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itkSampleClassifier
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itkImageModelEstimatorBase
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itkImageGaussianModelEstimator
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itkMahalanobisDistanceThresholdImageFunction
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itkDistanceToCentroidMembershipFunction
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itkDistanceMetric
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itkExpectationMaximizationMixtureModelEstimator
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itkMembershipFunctionBase
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itkMembershipSample
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itkGaussianMixtureModelComponent
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itkDensityFunction
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itkMembershipSampleGenerator
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itkMahalanobisDistanceMembershipFunction
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itkMixtureModelComponentBase
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itkSelectiveSubsampleGenerator
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itkMaximumDecisionRule
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itkMaximumRatioDecisionRule
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itkDecisionRuleBase
|-
itkMinimumDecisionRule
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itkRGBGibbsPriorFilter
|-
itkBayesianClassifierImageFilter
|-
itkClassifierBase
|-
itkMRFImageFilter
|-
itkBayesianClassifierInitializationImageFilter
|-
itkSampleClassifierWithMask
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itkSampleClassifier
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itkImageModelEstimatorBase.h
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itkImageGaussianModelEstimator.h
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itkMahalanobisDistanceThresholdImageFunction.h
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itkDistanceToCentroidMembershipFunction.h
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itkDistanceMetric.h
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itkListSample.h
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itkExpectationMaximizationMixtureModelEstimator.h
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itkMembershipFunctionBase.h
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itkMembershipSample.h
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itkGaussianMixtureModelComponent.h
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itkDensityFunction.h
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itkMembershipSampleGenerator.h
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itkMahalanobisDistanceMembershipFunction.h
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itkMixtureModelComponentBase.h
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itkSelectiveSubsampleGenerator.h
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itkMaximumDecisionRule.h
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itkMaximumRatioDecisionRule.h
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itkDecisionRuleBase.h
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itkMinimumDecisionRule.h
|}
|}

Revision as of 20:11, 16 July 2008

Here is the list of ITK classes related to classification

  1. itkScalarImageKmeansImageFilter
  2. itkImageClassifierBase
  3. itkRGBGibbsPriorFilter
  4. itkBayesianClassifierImageFilter
  5. itkClassifierBase
  6. itkMRFImageFilter
  7. itkBayesianClassifierInitializationImageFilter
  8. itkSampleClassifierWithMask
  9. itkSampleClassifier
  10. itkImageModelEstimatorBase.h
  11. itkImageGaussianModelEstimator.h
  12. itkMahalanobisDistanceThresholdImageFunction.h
  13. itkDistanceToCentroidMembershipFunction.h
  14. itkDistanceMetric.h
  15. itkListSample.h
  16. itkExpectationMaximizationMixtureModelEstimator.h
  17. itkMembershipFunctionBase.h
  18. itkMembershipSample.h
  19. itkGaussianMixtureModelComponent.h
  20. itkDensityFunction.h
  21. itkMembershipSampleGenerator.h
  22. itkMahalanobisDistanceMembershipFunction.h
  23. itkMixtureModelComponentBase.h
  24. itkSelectiveSubsampleGenerator.h
  25. itkMaximumDecisionRule.h
  26. itkMaximumRatioDecisionRule.h
  27. itkDecisionRuleBase.h
  28. itkMinimumDecisionRule.h

Four major function categories

  1. Distance function ( similarity measure )  : Distance
  2. Decision rule  : Decision
  3. Classification  : Classification
  4. Class model estimation ( Membership function estimation ) : Estimation
itkScalarImageKmeansImageFilter itkImageClassifierBase itkScalarImageKmeansImageFilter itkImageClassifierBase itkRGBGibbsPriorFilter itkBayesianClassifierImageFilter itkClassifierBase itkMRFImageFilter itkBayesianClassifierInitializationImageFilter itkSampleClassifierWithMask itkSampleClassifier itkImageModelEstimatorBase itkImageGaussianModelEstimator itkMahalanobisDistanceThresholdImageFunction itkDistanceToCentroidMembershipFunction itkDistanceMetric itkExpectationMaximizationMixtureModelEstimator itkMembershipFunctionBase itkMembershipSample itkGaussianMixtureModelComponent itkDensityFunction itkMembershipSampleGenerator itkMahalanobisDistanceMembershipFunction itkMixtureModelComponentBase itkSelectiveSubsampleGenerator itkMaximumDecisionRule itkMaximumRatioDecisionRule itkDecisionRuleBase itkMinimumDecisionRule itkRGBGibbsPriorFilter itkBayesianClassifierImageFilter itkClassifierBase itkMRFImageFilter itkBayesianClassifierInitializationImageFilter itkSampleClassifierWithMask itkSampleClassifier itkImageModelEstimatorBase.h itkImageGaussianModelEstimator.h itkMahalanobisDistanceThresholdImageFunction.h itkDistanceToCentroidMembershipFunction.h itkDistanceMetric.h itkListSample.h itkExpectationMaximizationMixtureModelEstimator.h itkMembershipFunctionBase.h itkMembershipSample.h itkGaussianMixtureModelComponent.h itkDensityFunction.h itkMembershipSampleGenerator.h itkMahalanobisDistanceMembershipFunction.h itkMixtureModelComponentBase.h itkSelectiveSubsampleGenerator.h itkMaximumDecisionRule.h itkMaximumRatioDecisionRule.h itkDecisionRuleBase.h itkMinimumDecisionRule.h
Class Function Base class
itkDecisionRuleBase Decision itkDecision
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