#include <itkMaximumDecisionRule.h>

Inheritance diagram for itk::Statistics::MaximumDecisionRule:

Collaboration diagram for itk::Statistics::MaximumDecisionRule:

Public Types
typedef Superclass::ClassIdentifierType	ClassIdentifierType
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::MembershipValueType	MembershipValueType
typedef Superclass::MembershipVectorType	MembershipVectorType
typedef SmartPointer< Self >	Pointer
typedef MaximumDecisionRule	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
	MaximumDecisionRule ()
virtual	~MaximumDecisionRule ()

Detailed Description

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

MaximumDecisionRule returns the class label with the largest discriminant score. If the discriminant scores are likelihood $p(x|i)$ , then this decision rule is a maximum likelihood decision rule.

Definition at line 39 of file itkMaximumDecisionRule.h.

Member Typedef Documentation

typedef Superclass::ClassIdentifierType itk::Statistics::MaximumDecisionRule::ClassIdentifierType

Types for class identifiers.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 59 of file itkMaximumDecisionRule.h.

typedef SmartPointer< const Self > itk::Statistics::MaximumDecisionRule::ConstPointer

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 46 of file itkMaximumDecisionRule.h.

typedef Superclass::MembershipValueType itk::Statistics::MaximumDecisionRule::MembershipValueType

Types for discriminant values and vectors.

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 52 of file itkMaximumDecisionRule.h.

typedef Superclass::MembershipVectorType itk::Statistics::MaximumDecisionRule::MembershipVectorType

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 56 of file itkMaximumDecisionRule.h.

typedef SmartPointer< Self > itk::Statistics::MaximumDecisionRule::Pointer

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 45 of file itkMaximumDecisionRule.h.

typedef MaximumDecisionRule itk::Statistics::MaximumDecisionRule::Self

Standard class typedefs

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 43 of file itkMaximumDecisionRule.h.

typedef DecisionRule itk::Statistics::MaximumDecisionRule::Superclass

Reimplemented from itk::Statistics::DecisionRule.

Definition at line 44 of file itkMaximumDecisionRule.h.

Constructor & Destructor Documentation

itk::Statistics::MaximumDecisionRule::MaximumDecisionRule ( ) [inline, protected]

Definition at line 68 of file itkMaximumDecisionRule.h.

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

Definition at line 69 of file itkMaximumDecisionRule.h.

Member Function Documentation

virtual::itk::LightObject::Pointer itk::Statistics::MaximumDecisionRule::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::MaximumDecisionRule::Evaluate ( const MembershipVectorType & discriminantScores ) const [virtual]