ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions
itk::Statistics::MinimumDecisionRule Class Reference

#include <itkMinimumDecisionRule.h>

+ Inheritance diagram for itk::Statistics::MinimumDecisionRule:
+ Collaboration diagram for itk::Statistics::MinimumDecisionRule:

List of all members.

Public Types

typedef
Superclass::ClassIdentifierType 
ClassIdentifierType
typedef SmartPointer< const SelfConstPointer
typedef
Superclass::MembershipValueType 
MembershipValueType
typedef
Superclass::MembershipVectorType 
MembershipVectorType
typedef SmartPointer< SelfPointer
typedef MinimumDecisionRule Self
typedef DecisionRule Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual ClassIdentifierType Evaluate (const MembershipVectorType &discriminantScores) const
virtual const char * GetNameOfClass () const

Static Public Member Functions

static Pointer New ()

Protected Member Functions

 MinimumDecisionRule ()
virtual ~MinimumDecisionRule ()

Detailed Description

A decision rule that returns the class label with the smallest discriminant score.

MinimumDecisionRule returns the class label with the smallest discriminant score.

Definition at line 37 of file itkMinimumDecisionRule.h.


Member Typedef Documentation

Types for class identifiers.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 57 of file itkMinimumDecisionRule.h.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 44 of file itkMinimumDecisionRule.h.

Types for discriminant values and vectors.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 50 of file itkMinimumDecisionRule.h.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 54 of file itkMinimumDecisionRule.h.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 43 of file itkMinimumDecisionRule.h.

Standard class typedefs

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 41 of file itkMinimumDecisionRule.h.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 42 of file itkMinimumDecisionRule.h.


Constructor & Destructor Documentation

Definition at line 66 of file itkMinimumDecisionRule.h.

virtual itk::Statistics::MinimumDecisionRule::~MinimumDecisionRule ( ) [inline, protected, virtual]

Definition at line 67 of file itkMinimumDecisionRule.h.


Member Function Documentation

virtual::itk::LightObject::Pointer itk::Statistics::MinimumDecisionRule::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

virtual ClassIdentifierType itk::Statistics::MinimumDecisionRule::Evaluate ( const MembershipVectorType discriminantScores) const [virtual]

Evaluate the decision rule, returning the class label associated with the smallest discriminant score.

Implements itk::Statistics::DecisionRule.

virtual const char* itk::Statistics::MinimumDecisionRule::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::Statistics::DecisionRule.

Standard New() method support

Reimplemented from itk::Object.


The documentation for this class was generated from the following file: