GMM Class Reference

#include <gmm.h>

List of all members.

Public Member Functions
void	alloc (const int number_of_kernel)
void	dispparams () const
void	free ()
	GMM (const double em_threshold=5.0e-2, const int max_iterations=50, const int min_iterations=5)
	GMM (const GMM &x)
double	GmmEm (const std::vector< GMMFloatPnt > &pts)
float	grabCutLikelihood (const GMMFloatPnt &x) const
void	initkernels (const std::vector< GMMFloatPnt > &pts, const float sigma)
void	kmeansInit (const std::vector< GMMFloatPnt > &pts, const float sigma)
double	learn (const std::vector< GMMFloatPnt > &pts)
void	loadgmm (const fs::path &loadfilepath)
float	maxProbability (const GMMFloatPnt &x) const
float	minl2clustercenterdist (const GMMFloatPnt &x) const
GMM &	operator= (const GMM &x)
float	probability (const GMMFloatPnt &x) const
void	savegmm (const fs::path &savefilepath) const
int	which_kernel (const GMMFloatPnt &x) const
	~GMM ()
Public Attributes
double	em_thresh
Gaussian *	kernel
double	max_iter
double	min_iter
int	nk
float *	w

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Detailed Description

Definition at line 201 of file gmm.h.

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Constructor & Destructor Documentation

GMM::GMM	(	const double	em_threshold = 5.0e-2,
		const int	max_iterations = 50,
		const int	min_iterations = 5
	)		[inline]

Definition at line 211 of file gmm.h.

GMM::GMM

(

const GMM &

x

)

[inline]

Definition at line 217 of file gmm.h.

GMM::~GMM

(

)

[inline]

Definition at line 247 of file gmm.h.

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Member Function Documentation

void GMM::alloc

(

const int

number_of_kernel

)

[inline]

Definition at line 253 of file gmm.h.

void GMM::dispparams

(

)

const [inline]

Definition at line 334 of file gmm.h.

void GMM::free

(

)

[inline]

Definition at line 266 of file gmm.h.

double GMM::GmmEm

(

const std::vector< GMMFloatPnt > &

pts

)

Definition at line 233 of file gmm.cpp.

float GMM::grabCutLikelihood

(

const GMMFloatPnt &

x

)

const [inline]

Definition at line 301 of file gmm.h.

void GMM::initkernels	(	const std::vector< GMMFloatPnt > &	pts,
		const float	sigma
	)

Definition at line 384 of file gmm.cpp.

void GMM::kmeansInit	(	const std::vector< GMMFloatPnt > &	pts,
		const float	sigma
	)

Definition at line 273 of file gmm.cpp.

double GMM::learn

(

const std::vector< GMMFloatPnt > &

pts

)

Definition at line 105 of file gmm.cpp.

void GMM::loadgmm

(

const fs::path &

loadfilepath

)

Definition at line 439 of file gmm.cpp.

float GMM::maxProbability

(

const GMMFloatPnt &

x

)

const [inline]

Definition at line 287 of file gmm.h.

float GMM::minl2clustercenterdist

(

const GMMFloatPnt &

x

)

const [inline]

Definition at line 316 of file gmm.h.

GMM& GMM::operator=

(

const GMM &

x

)

[inline]

Definition at line 228 of file gmm.h.

float GMM::probability

(

const GMMFloatPnt &

x

)

const [inline]

Definition at line 278 of file gmm.h.

void GMM::savegmm

(

const fs::path &

savefilepath

)

const

Definition at line 419 of file gmm.cpp.

int GMM::which_kernel

(

const GMMFloatPnt &

x

)

const

Definition at line 85 of file gmm.cpp.

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Member Data Documentation

double GMM::em_thresh

Definition at line 206 of file gmm.h.

Gaussian* GMM::kernel

Definition at line 205 of file gmm.h.

double GMM::max_iter

Definition at line 207 of file gmm.h.

double GMM::min_iter

Definition at line 208 of file gmm.h.

int GMM::nk

Definition at line 203 of file gmm.h.

float* GMM::w

Definition at line 204 of file gmm.h.

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

• gmm.h
• gmm.cpp