TriadicAlgorithm Class Reference

#include <np_triadic_algorithm.h>

Inheritance diagram for TriadicAlgorithm:

Collaboration diagram for TriadicAlgorithm:

Public Member Functions
	TriadicAlgorithm (random_engine_t &generator, distribution_t &likelihood, dirichlet_process &nonparametrics)
void	update (membertrix &cluster_matrix, const data_ids_t &data_ids)
void	printStatistics ()
Public Member Functions inherited from UpdateClusterPopulation
	UpdateClusterPopulation ()
virtual	~UpdateClusterPopulation ()

Additional Inherited Members
Protected Attributes inherited from UpdateClusterPopulation
std::default_random_engine	_generator
std::uniform_real_distribution< double >	_distribution
char	_verbosity

Detailed Description

This class TriadicAlgorithm updates the cluster population assuming a dirichlet process as nonparametric prior.

Constructor & Destructor Documentation

TriadicAlgorithm()

TriadicAlgorithm::TriadicAlgorithm	(	random_engine_t &	generator,
		distribution_t &	likelihood,
		dirichlet_process &	nonparametrics
	)

Construct update method for cluster population.

Parameters

[in]	generator	Random generator
[in]	likelihood	Likelihood function to be used in update()
[in]	nonparametrics	Sufficient statistics of the nonparametric prior (e.g. Dirichlet)

Member Function Documentation

printStatistics()

void TriadicAlgorithm::printStatistics ( )

virtual

MCMC statistics. How many times are steps rejected, etc.

Implements UpdateClusterPopulation.

update()

void TriadicAlgorithm::update ( membertrix &  cluster_matrix, const data_ids_t &  data_ids  )

virtual

Update the cluster population. The observation has to be deleted beforehand.

Parameters

[in,out]	cluster_matrix	Cluster-observation membership matrix
[in]	data_ids	Observations to be considered for existing and new cluster

Implements UpdateClusterPopulation.

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

• include/np_triadic_algorithm.h
• src/np_triadic_algorithm.cpp