GaussianMixtureAssociationMethod Class Reference

#include <MemoryX/components/CommonPlacesLearner/GaussianMixtureAssociationMethod.h>

Inheritance diagram for GaussianMixtureAssociationMethod:

Public Member Functions
	GaussianMixtureAssociationMethod (float threshold, GMMDistancePtr gmmDistance)
	Creates a new GaussianMixtureAssociationMethod. More...
Ice::Int	getAssociatedComponentIndex (const GaussianMixtureDistributionBasePtr &gmDistr, const GaussianMixtureComponent &newComp, const ::Ice::Current &=Ice::emptyCurrent) override
	Returns an index of GM component, which is "closest" to the specified gaussian. More...
void	setThreshold (float threshold)

Detailed Description

Definition at line 38 of file GaussianMixtureAssociationMethod.h.

Constructor & Destructor Documentation

GaussianMixtureAssociationMethod()

GaussianMixtureAssociationMethod ( float  threshold, GMMDistancePtr  gmmDistance  )

inline

Creates a new GaussianMixtureAssociationMethod.

Definition at line 45 of file GaussianMixtureAssociationMethod.h.

Member Function Documentation

getAssociatedComponentIndex()

Ice::Int getAssociatedComponentIndex ( const GaussianMixtureDistributionBasePtr &  gmDistr, const GaussianMixtureComponent &  newComp, const ::Ice::Current &  = Ice::emptyCurrent  )

inlineoverride

Returns an index of GM component, which is "closest" to the specified gaussian.

Parameters

gmDistr	GaussianMixture to associate (e.g. current belief state)
newComp	new gaussian (e.g. new observation)

Returns

index of associated GM component, or -1 if none found

Definition at line 63 of file GaussianMixtureAssociationMethod.h.

setThreshold()

void setThreshold ( float  threshold )

inline

Definition at line 50 of file GaussianMixtureAssociationMethod.h.

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

• MemoryX/components/CommonPlacesLearner/GaussianMixtureAssociationMethod.h