Proposals:Refactoring Statistics Framework 2007 List of Classifier Related Classes: Difference between revisions
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Five major categories | |||
# Distance function ( similarity measure ) | # Distance function ( similarity measure ) | ||
# Decision rule | # Decision rule | ||
# Classification | # Classification | ||
# Class model estimation ( | # Class model estimation ( Estimation ) | ||
# Framework: distance, decision rule, class model estimation | # Framework: distance, decision rule, class model estimation | ||
Here is the list of ITK classes related to classification | |||
{| border="1" | {| border="1" | ||
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| itkScalarImageKmeansImageFilter || Framework || ImageToImageFilter | | itkScalarImageKmeansImageFilter || Framework || ImageToImageFilter | ||
|- | |- | ||
|itkImageClassifierBase || Framework || | |itkImageClassifierBase || Framework || ClassiferBase | ||
|- | |- | ||
|itkRGBGibbsPriorFilter || | |itkRGBGibbsPriorFilter || Framework || MRFImageFilter | ||
|- | |- | ||
|itkBayesianClassifierImageFilter || | |itkBayesianClassifierImageFilter || Framework || ImageToImageFilter | ||
|- | |- | ||
|itkClassifierBase || Framework || itkLightProcessObject | |itkClassifierBase || Framework || itkLightProcessObject | ||
|- | |- | ||
|itkMRFImageFilter || | |itkMRFImageFilter || Framework || ImageToImageFilter | ||
|- | |- | ||
| | |itkBayesianClassifierInitializationImageFilter || Estimation || ImageToImagFilter | ||
|- | |- | ||
| | |itkSampleClassifierWithMask || Framework || SampleClassifierWithMask | ||
|- | |- | ||
| | |itkSampleClassifier || Framework || ClassiferBase | ||
|- | |- | ||
| | |itkImageModelEstimatorBase || Estimation || LightProcessObject | ||
|- | |- | ||
| | |itkImageGaussianModelEstimator || Estimation || ImageModelEstimatorBase | ||
|- | |- | ||
| | |itkMahalanobisDistanceMembershipFunction || Distance function || MembershipFunctionBase | ||
|- | |- | ||
| | |itkDistanceToCentroidMembershipFunction || Distance function || MembershipFunctionBase | ||
|- | |- | ||
| | |itkDistanceMetric || Distance function || MembershipFunctionBase | ||
|- | |- | ||
| | |itkEuclideanDistance || Distance function || DistanceMetric | ||
|- | |- | ||
| | |itkExpectationMaximizationMixtureModelEstimator || Estimation || Object | ||
|- | |- | ||
| | |itkMembershipFunctionBase || Distance function || FunctionBase | ||
|- | |- | ||
| | |itkDensityFunction || Distance Function || MembershipFunctionBase | ||
|- | |- | ||
| | |itkMahalanobisDistanceMembershipFunction || Distance Function || MembershipFunctionBase | ||
|- | |- | ||
| | |itkMaximumDecisionRule || Decision || DecisionRuleBase | ||
|- | |- | ||
| | |itkMaximumRatioDecisionRule || Decision || DecisionRuleBase | ||
|- | |- | ||
| | |itkDecisionRuleBase || Decision || Object | ||
|- | |- | ||
|itkMinimumDecisionRule || Decision || DecisionRuleBase | |||
|itkMinimumDecisionRule | |||
|} | |} |
Latest revision as of 21:21, 16 July 2008
Five major categories
- Distance function ( similarity measure )
- Decision rule
- Classification
- Class model estimation ( Estimation )
- Framework: distance, decision rule, class model estimation
Here is the list of ITK classes related to classification
Class | Function | Base class |
---|---|---|
itkScalarImageKmeansImageFilter | Framework | ImageToImageFilter |
itkImageClassifierBase | Framework | ClassiferBase |
itkRGBGibbsPriorFilter | Framework | MRFImageFilter |
itkBayesianClassifierImageFilter | Framework | ImageToImageFilter |
itkClassifierBase | Framework | itkLightProcessObject |
itkMRFImageFilter | Framework | ImageToImageFilter |
itkBayesianClassifierInitializationImageFilter | Estimation | ImageToImagFilter |
itkSampleClassifierWithMask | Framework | SampleClassifierWithMask |
itkSampleClassifier | Framework | ClassiferBase |
itkImageModelEstimatorBase | Estimation | LightProcessObject |
itkImageGaussianModelEstimator | Estimation | ImageModelEstimatorBase |
itkMahalanobisDistanceMembershipFunction | Distance function | MembershipFunctionBase |
itkDistanceToCentroidMembershipFunction | Distance function | MembershipFunctionBase |
itkDistanceMetric | Distance function | MembershipFunctionBase |
itkEuclideanDistance | Distance function | DistanceMetric |
itkExpectationMaximizationMixtureModelEstimator | Estimation | Object |
itkMembershipFunctionBase | Distance function | FunctionBase |
itkDensityFunction | Distance Function | MembershipFunctionBase |
itkMahalanobisDistanceMembershipFunction | Distance Function | MembershipFunctionBase |
itkMaximumDecisionRule | Decision | DecisionRuleBase |
itkMaximumRatioDecisionRule | Decision | DecisionRuleBase |
itkDecisionRuleBase | Decision | Object |
itkMinimumDecisionRule | Decision | DecisionRuleBase |