ITK  4.2.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes
itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample > Class Template Reference

#include <itkExpectationMaximizationMixtureModelEstimator.h>

+ Inheritance diagram for itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >:
+ Collaboration diagram for itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >:

List of all members.

Public Types

typedef MembershipFunctionBase
< MeasurementVectorType
ComponentMembershipFunctionType
typedef
MixtureModelComponentBase
< TSample > 
ComponentType
typedef std::vector
< ComponentType * > 
ComponentVectorType
typedef SmartPointer< const SelfConstPointer
typedef
GaussianMembershipFunctionType::Pointer 
GaussianMembershipFunctionPointer
typedef
GaussianMembershipFunction
< MeasurementVectorType
GaussianMembershipFunctionType
typedef TSample::MeasurementType MeasurementType
typedef
TSample::MeasurementVectorType 
MeasurementVectorType
typedef
MembershipFunctionType::ConstPointer 
MembershipFunctionPointer
typedef
SimpleDataObjectDecorator
< ProportionVectorType
MembershipFunctionsWeightsArrayObjectType
typedef
MembershipFunctionsWeightsArrayObjectType::Pointer 
MembershipFunctionsWeightsArrayPointer
typedef MembershipFunctionBase
< MeasurementVectorType
MembershipFunctionType
typedef
MembershipFunctionVectorObjectType::Pointer 
MembershipFunctionVectorObjectPointer
typedef
SimpleDataObjectDecorator
< MembershipFunctionVectorType
MembershipFunctionVectorObjectType
typedef std::vector
< MembershipFunctionPointer
MembershipFunctionVectorType
typedef SmartPointer< SelfPointer
typedef Array< double > ProportionVectorType
typedef TSample SampleType
typedef
ExpectationMaximizationMixtureModelEstimator 
Self
typedef Object Superclass
enum  TERMINATION_CODE {
  CONVERGED = 0,
  NOT_CONVERGED = 1
}
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

int AddComponent (ComponentType *component)
ComponentMembershipFunctionTypeGetComponentMembershipFunction (int componentIndex) const
int GetCurrentIteration ()
const ProportionVectorTypeGetInitialProportions () const
int GetMaximumIteration () const
const
MembershipFunctionsWeightsArrayObjectType
GetMembershipFunctionsWeightsArray () const
unsigned int GetNumberOfComponents () const
const
MembershipFunctionVectorObjectType
GetOutput () const
const ProportionVectorTypeGetProportions () const
const TSample * GetSample () const
TERMINATION_CODE GetTerminationCode () const
void SetInitialProportions (ProportionVectorType &propotion)
void SetMaximumIteration (int numberOfIterations)
void SetSample (const TSample *sample)
void Update ()
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const
virtual void DebugOff () const
virtual void DebugOn () const
CommandGetCommand (unsigned long tag)
bool GetDebug () const
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const TimeStampGetTimeStamp () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
virtual int GetReferenceCount () const
 itkCloneMacro (Self)
void Print (std::ostream &os, Indent indent=0) const
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()

Protected Member Functions

bool CalculateDensities ()
double CalculateExpectation () const
 ExpectationMaximizationMixtureModelEstimator ()
void GenerateData ()
void PrintSelf (std::ostream &os, Indent indent) const
bool UpdateComponentParameters ()
bool UpdateProportions ()
virtual ~ExpectationMaximizationMixtureModelEstimator ()
- Protected Member Functions inherited from itk::Object
 Object ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void SetTimeStamp (const TimeStamp &time)
virtual ~Object ()
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 LightObject ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual ~LightObject ()

Private Attributes

ComponentVectorType m_ComponentVector
int m_CurrentIteration
ProportionVectorType m_InitialProportions
int m_MaxIteration
MembershipFunctionVectorObjectPointer m_MembershipFunctionsObject
MembershipFunctionsWeightsArrayPointer m_MembershipFunctionsWeightArrayObject
ProportionVectorType m_Proportions
const TSample * m_Sample
TERMINATION_CODE m_TerminationCode
virtual const char * GetNameOfClass () const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
static Pointer New ()

Additional Inherited Members


Detailed Description

template<class TSample>
class itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >

This class generates the parameter estimates for a mixture model using expectation maximization strategy.

The first template argument is the type of the target sample data. This estimator expects one or more mixture model component objects of the classes derived from the MixtureModelComponentBase. The actual component (or module) parameters are updated by each component. Users can think this class as a strategy or a integration point for the EM procedure. The initial proportion (SetInitialProportions), the input sample (SetSample), the mixture model components (AddComponent), and the maximum iteration (SetMaximumIteration) are required. The EM procedure terminates when the current iteration reaches the maximum iteration or the model parameters converge.

Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. It is now obtained at run time from the sample set as input. Please use the function GetMeasurementVectorSize() to get the length.

See also:
MixtureModelComponentBase, GaussianMixtureModelComponent
Wiki Examples:

Definition at line 61 of file itkExpectationMaximizationMixtureModelEstimator.h.


Member Typedef Documentation

Type of the membership function base class

Definition at line 105 of file itkExpectationMaximizationMixtureModelEstimator.h.

Type of the mixture model component base class

Definition at line 98 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef std::vector< ComponentType * > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentVectorType

Type of the component pointer storage

Definition at line 101 of file itkExpectationMaximizationMixtureModelEstimator.h.

Reimplemented from itk::Object.

Definition at line 68 of file itkExpectationMaximizationMixtureModelEstimator.h.

Typedef requried to generate dataobject decorated output that can be plugged into SampleClassifierFilter

Definition at line 84 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample::MeasurementType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementType
template<class TSample >
typedef TSample::MeasurementVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementVectorType

typedef for decorated array of proportion

Definition at line 127 of file itkExpectationMaximizationMixtureModelEstimator.h.

Reimplemented from itk::Object.

Definition at line 67 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef Array< double > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ProportionVectorType

Type of the array of the proportion values

Definition at line 108 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SampleType

TSample template argument related typedefs

Definition at line 73 of file itkExpectationMaximizationMixtureModelEstimator.h.

Standard class typedef

Reimplemented from itk::Object.

Definition at line 65 of file itkExpectationMaximizationMixtureModelEstimator.h.

Reimplemented from itk::Object.

Definition at line 66 of file itkExpectationMaximizationMixtureModelEstimator.h.


Member Enumeration Documentation

Termination status after running optimization

Enumerator:
CONVERGED 
NOT_CONVERGED 

Definition at line 158 of file itkExpectationMaximizationMixtureModelEstimator.h.


Constructor & Destructor Documentation

template<class TSample >
virtual itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::~ExpectationMaximizationMixtureModelEstimator ( )
inlineprotectedvirtual

Member Function Documentation

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::AddComponent ( ComponentType component)

Adds a new component (or class).

template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateDensities ( )
protected
template<class TSample >
double itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateExpectation ( ) const
protected
template<class TSample >
virtual::itk::LightObject::Pointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CreateAnother ( void  ) const
virtual

Standard macros

Reimplemented from itk::Object.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GenerateData ( )
protected

Starts the estimation process

template<class TSample >
ComponentMembershipFunctionType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetComponentMembershipFunction ( int  componentIndex) const

Gets the membership function specified by componentIndex argument.

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetCurrentIteration ( )
inline

Gets the current iteration.

Definition at line 143 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
const ProportionVectorType& itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetInitialProportions ( ) const
template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetMaximumIteration ( ) const
template<class TSample >
const MembershipFunctionsWeightsArrayObjectType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetMembershipFunctionsWeightsArray ( ) const

Get method for data decorated Membership functions weights array

template<class TSample >
virtual const char* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetNameOfClass ( ) const
virtual

Standard macros

Reimplemented from itk::Object.

template<class TSample >
unsigned int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetNumberOfComponents ( ) const

Gets the total number of classes currently plugged in.

template<class TSample >
const MembershipFunctionVectorObjectType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetOutput ( ) const

Output Membership function vector containing the membership functions with the final optimized parameters

template<class TSample >
const ProportionVectorType& itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetProportions ( ) const

Gets the result proportion values

template<class TSample >
const TSample* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetSample ( ) const

Returns the target data

template<class TSample >
TERMINATION_CODE itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetTerminationCode ( ) const

Gets the termination status

template<class TSample >
static Pointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::New ( )
static

Standard macros

Reimplemented from itk::Object.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetInitialProportions ( ProportionVectorType propotion)

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes)

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetMaximumIteration ( int  numberOfIterations)

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetSample ( const TSample *  sample)

Sets the target data that will be classified by this

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Update ( )

Runs the optimization process.

template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateComponentParameters ( )
protected
template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateProportions ( )
protected

Member Data Documentation

template<class TSample >
ComponentVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_ComponentVector
private
template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_CurrentIteration
private
template<class TSample >
ProportionVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_InitialProportions
private
template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_MaxIteration
private
template<class TSample >
MembershipFunctionVectorObjectPointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_MembershipFunctionsObject
private
template<class TSample >
MembershipFunctionsWeightsArrayPointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_MembershipFunctionsWeightArrayObject
private
template<class TSample >
ProportionVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_Proportions
private
template<class TSample >
const TSample* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_Sample
private

Target data sample pointer

Definition at line 189 of file itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
TERMINATION_CODE itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::m_TerminationCode
private

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