#include <iostream>
#include <fstream>
#include <cstdio>
#include <cassert>
#include <cmath>
#include "TrainTools.h"
#include "SegTools.h"

Include dependency graph for ClusteringCriterion.cpp:

Functions
double	clrCrit (Config &config, SegCluster &c1, SegCluster &c2, StatServer &ss, FeatureServer &fs, MixtureGD &m1, MixtureGD &m2, MixtureGD &world)
double	gllrCrit (Config &config, SegCluster &c1, SegCluster &c2, SegCluster &c12, StatServer &ss, FeatureServer &fs, MixtureGD &m1, MixtureGD &m2, MixtureGD &m12)
double	bicCrit (Config &config, SegCluster &c1, SegCluster &c2, SegCluster &c12, StatServer &ss, FeatureServer &fs, MixtureGD &m1, MixtureGD &m2, MixtureGD &m12)
double	deltabicCrit (Config &config, SegCluster &c1, SegCluster &c2, SegCluster &c12, StatServer &ss, FeatureServer &fs, MixtureGD &m1, MixtureGD &m2, MixtureGD &m12)
double	clusteringCriterionByAdapt (Config &config, Seg segment1, Seg segment2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
double	clusteringCriterion (Config &config, Seg segment1, Seg segment2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
SegCluster &	mergeCluster (SegCluster &c1, SegCluster &c2, SegServer &segTemp, String merge="NULL")
double	clusteringCriterionWithoutWorldInit (Config &config, SegCluster &c1, SegCluster &c2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
double	clusteringCriterionWithoutWorldInit (Config &config, SegCluster &c1, MixtureGD &m1, SegCluster &c2, MixtureGD &m2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
double	clusteringCriterionWithoutWorldInit (Config &config, Seg segment1, Seg segment2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
bool	isSimilarSegment (Config &config, Seg segment1, Seg segment2, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
double	cohortMaxLikelihood (StatServer &ss, FeatureServer &fs, hmm &actualHMM, unsigned long except, unsigned long begin, unsigned long longSelection, Config &config)
Seg *	bestFittingSegment (Config &config, SegCluster &cluster, MixtureGD &m, StatServer &ss, FeatureServer &fs)
Seg *	bestFittingSegment (Config &config, SegCluster &cluster, MixtureGD &m, StatServer &ss, FeatureServer &fs, MixtureGD &world)
Seg *	bestFittingSegment (Config &config, SegCluster &cluster, MixtureGD &m, StatServer &ss, FeatureServer &fs, hmm &actualHMM, unsigned long except)
unsigned long	bestFittingCluster (Config &config, hmm &actualHMM, SegServer &actualSeg, Seg *segment, StatServer &ss, FeatureServer &fs, unsigned long exceptInd=200)
void	intraCluster (Config &config, hmm &actualHMM, SegServer &actualSeg, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)
void	interCluster (Config &config, hmm &actualHMM, SegServer &actualSeg, StatServer &ss, FeatureServer &fs, MixtureGD &world, String crit)

Function Documentation

unsigned long bestFittingCluster	(	Config &	config,
		hmm &	actualHMM,
		SegServer &	actualSeg,
		Seg *	segment,
		StatServer &	ss,
		FeatureServer &	fs,
		unsigned long	exceptInd = `200`
	)

Definition at line 771 of file ClusteringCriterion.cpp.

References hmm::getDensity(), meanLikelihood(), and verbose.

Seg* bestFittingSegment	(	Config &	config,
		SegCluster &	cluster,
		MixtureGD &	m,
		StatServer &	ss,
		FeatureServer &	fs
	)

Definition at line 635 of file ClusteringCriterion.cpp.

References endSeg(), meanLikelihood(), verbose, and verboseLevel.

Referenced by interCluster(), and intraCluster().

Seg* bestFittingSegment	(	Config &	config,
		SegCluster &	cluster,
		MixtureGD &	m,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world
	)

Definition at line 678 of file ClusteringCriterion.cpp.

References endSeg(), meanLikelihood(), verbose, and verboseLevel.

Seg* bestFittingSegment	(	Config &	config,
		SegCluster &	cluster,
		MixtureGD &	m,
		StatServer &	ss,
		FeatureServer &	fs,
		hmm &	actualHMM,
		unsigned long	except
	)

Definition at line 724 of file ClusteringCriterion.cpp.

References cohortMaxLikelihood(), endSeg(), meanLikelihood(), verbose, and verboseLevel.

double bicCrit	(	Config &	config,
		SegCluster &	c1,
		SegCluster &	c2,
		SegCluster &	c12,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	m1,
		MixtureGD &	m2,
		MixtureGD &	m12
	)

Definition at line 136 of file ClusteringCriterion.cpp.

References gllrCrit(), totalFrame(), and verbose.

Referenced by clusteringCriterion(), clusteringCriterionByAdapt(), and clusteringCriterionWithoutWorldInit().

double clrCrit	(	Config &	config,
		SegCluster &	c1,
		SegCluster &	c2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	m1,
		MixtureGD &	m2,
		MixtureGD &	world
	)

Definition at line 73 of file ClusteringCriterion.cpp.

References accumulateStatLLK(), totalFrame(), verbose, and verboseLevel.

Referenced by clusteringCriterion(), clusteringCriterionByAdapt(), and clusteringCriterionWithoutWorldInit().

double clusteringCriterion	(	Config &	config,
		Seg *	segment1,
		Seg *	segment2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 224 of file ClusteringCriterion.cpp.

References bicCrit(), clrCrit(), endSeg(), gllrCrit(), globalMeanCov(), TrainCfg::setBaggedFrameProbability(), TrainCfg::setNbTrainIt(), trainModel(), and verbose.

double clusteringCriterionByAdapt	(	Config &	config,
		Seg *	segment1,
		Seg *	segment2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 165 of file ClusteringCriterion.cpp.

References adaptModel(), bicCrit(), clrCrit(), endSeg(), gllrCrit(), MAPCfg::setBaggedFrameProbability(), MAPCfg::setMeanReg(), MAPCfg::setMethod(), and verbose.

double clusteringCriterionWithoutWorldInit	(	Config &	config,
		SegCluster &	c1,
		SegCluster &	c2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 319 of file ClusteringCriterion.cpp.

References bicCrit(), clrCrit(), deltabicCrit(), gllrCrit(), globalMeanCov(), mergeCluster(), mixtureInit(), TrainCfg::setBaggedFrameProbability(), TrainCfg::setBaggedFrameProbabilityInit(), TrainCfg::setFinalVarFlooring(), TrainCfg::setInitVarFlooring(), TrainCfg::setNbTrainIt(), trainModel(), and verbose.

Referenced by clusteringCriterionWithoutWorldInit(), and isSimilarSegment().

double clusteringCriterionWithoutWorldInit	(	Config &	config,
		SegCluster &	c1,
		MixtureGD &	m1,
		SegCluster &	c2,
		MixtureGD &	m2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 476 of file ClusteringCriterion.cpp.

References bicCrit(), clrCrit(), deltabicCrit(), gllrCrit(), globalMeanCov(), mergeCluster(), mixtureInit(), TrainCfg::setBaggedFrameProbability(), TrainCfg::setBaggedFrameProbabilityInit(), TrainCfg::setFinalVarFlooring(), TrainCfg::setInitVarFlooring(), TrainCfg::setNbTrainIt(), totalFrame(), trainModel(), and verbose.

double clusteringCriterionWithoutWorldInit	(	Config &	config,
		Seg *	segment1,
		Seg *	segment2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 563 of file ClusteringCriterion.cpp.

References clusteringCriterionWithoutWorldInit(), endSeg(), and verbose.

double cohortMaxLikelihood	(	StatServer &	ss,
		FeatureServer &	fs,
		hmm &	actualHMM,
		unsigned long	except,
		unsigned long	begin,
		unsigned long	longSelection,
		Config &	config
	)

Definition at line 611 of file ClusteringCriterion.cpp.

References hmm::getDensity(), hmm::getNbState(), max(), meanLikelihood(), verbose, and verboseLevel.

Referenced by bestFittingSegment().

double deltabicCrit	(	Config &	config,
		SegCluster &	c1,
		SegCluster &	c2,
		SegCluster &	c12,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	m1,
		MixtureGD &	m2,
		MixtureGD &	m12
	)

Definition at line 152 of file ClusteringCriterion.cpp.

References gllrCrit(), totalFrame(), and verbose.

Referenced by clusteringCriterionWithoutWorldInit().

double gllrCrit	(	Config &	config,
		SegCluster &	c1,
		SegCluster &	c2,
		SegCluster &	c12,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	m1,
		MixtureGD &	m2,
		MixtureGD &	m12
	)

Definition at line 108 of file ClusteringCriterion.cpp.

References accumulateStatLLK(), totalFrame(), verbose, and verboseLevel.

Referenced by bicCrit(), clusteringCriterion(), clusteringCriterionByAdapt(), clusteringCriterionWithoutWorldInit(), and deltabicCrit().

void interCluster	(	Config &	config,
		hmm &	actualHMM,
		SegServer &	actualSeg,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 814 of file ClusteringCriterion.cpp.

References bestFittingSegment(), endSeg(), hmm::getDensity(), isSimilarSegment(), verbose, and verboseLevel.

void intraCluster	(	Config &	config,
		hmm &	actualHMM,
		SegServer &	actualSeg,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 795 of file ClusteringCriterion.cpp.

References bestFittingSegment(), endSeg(), hmm::getDensity(), isSimilarSegment(), verbose, and verboseLevel.

bool isSimilarSegment	(	Config &	config,
		Seg *	segment1,
		Seg *	segment2,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		String	crit
	)

Definition at line 586 of file ClusteringCriterion.cpp.

References clusteringCriterionWithoutWorldInit().

Referenced by interCluster(), and intraCluster().

SegCluster& mergeCluster	(	SegCluster &	c1,
		SegCluster &	c2,
		SegServer &	segTemp,
		String	merge = `"NULL"`
	)

Definition at line 298 of file ClusteringCriterion.cpp.

Referenced by clusteringCriterionWithoutWorldInit().

ClusteringCriterion.cpp File Reference

Functions

Function Documentation