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.
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.
void	setThreshold (float threshold)

Constructor & Destructor Documentation

GaussianMixtureAssociationMethod()

GaussianMixtureAssociationMethod ( float threshold, GMMDistancePtr gmmDistance )

inline

Creates a new GaussianMixtureAssociationMethod.

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

setThreshold()

void setThreshold ( float threshold )

inline

---

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

• MemoryX/components/CommonPlacesLearner/GaussianMixtureAssociationMethod.h