#include <itkDecisionRule.h>

Inheritance diagram for itk::Statistics::DecisionRule:

Collaboration diagram for itk::Statistics::DecisionRule:

Public Types
typedef MembershipVectorType::size_type	ClassIdentifierType
typedef SmartPointer< const Self >	ConstPointer
typedef double	MembershipValueType
typedef std::vector < MembershipValueType >	MembershipVectorType
typedef SmartPointer< Self >	Pointer
typedef DecisionRule	Self
typedef Object	Superclass
Public Member Functions
virtual ClassIdentifierType	Evaluate (const MembershipVectorType &discriminantScores) const =0
virtual const char *	GetNameOfClass () const
Protected Member Functions
	DecisionRule ()
virtual	~DecisionRule ()
Private Member Functions
	DecisionRule (const Self &)
void	operator= (const Self &)

Detailed Description

Base class for decision rules that return a class label based on a set of discriminant scores.

DecisionRule is the base class for decision rules used in classification. Subclasses of DecisionRule include MaximumDecisionRule, MinimumDecisionRule, and MaximumRationDecisionRule, This class has a pure virtual function, Evaluate(), which implements the particular decision rule, given a set of discriminant scores. Concrete subclasses of DecisionRule must implement this method.

Definition at line 47 of file itkDecisionRule.h.

Member Typedef Documentation

typedef MembershipVectorType::size_type itk::Statistics::DecisionRule::ClassIdentifierType

Types for class identifiers.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 64 of file itkDecisionRule.h.

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

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 54 of file itkDecisionRule.h.

typedef double itk::Statistics::DecisionRule::MembershipValueType

Types for discriminant values and vectors.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 57 of file itkDecisionRule.h.

typedef std::vector< MembershipValueType > itk::Statistics::DecisionRule::MembershipVectorType

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 61 of file itkDecisionRule.h.

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

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 53 of file itkDecisionRule.h.

typedef DecisionRule itk::Statistics::DecisionRule::Self

Standard class typedefs

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 51 of file itkDecisionRule.h.

typedef Object itk::Statistics::DecisionRule::Superclass

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

Definition at line 52 of file itkDecisionRule.h.

Constructor & Destructor Documentation

itk::Statistics::DecisionRule::DecisionRule ( ) [protected]

virtual itk::Statistics::DecisionRule::~DecisionRule ( ) [protected, virtual]

itk::Statistics::DecisionRule::DecisionRule ( const Self & ) [private]

Member Function Documentation

virtual ClassIdentifierType itk::Statistics::DecisionRule::Evaluate ( const MembershipVectorType & discriminantScores ) const [pure virtual]

Evaluate the decision rule. The return value of this function is a class label. Functions returns the best label given the discriminant scores using its internal logic.

Implemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

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

Run-time type information (and related methods)

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

void itk::Statistics::DecisionRule::operator= ( const Self & ) [private]

Mutex lock to protect modification to the reference count

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule.

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