org.opencv.ml

Class EM

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

org.opencv.ml.EM

public class EM
extends StatModel

Field Summary

Fields

Modifier and Type	Field and Description
static int	COV_MAT_DEFAULT
static int	COV_MAT_DIAGONAL
static int	COV_MAT_GENERIC
static int	COV_MAT_SPHERICAL
static int	DEFAULT_MAX_ITERS
static int	DEFAULT_NCLUSTERS
static int	START_AUTO_STEP
static int	START_E_STEP
static int	START_M_STEP

Fields inherited from class org.opencv.ml.StatModel

COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL

Method Summary

Modifier and Type	Method and Description
static EM	create()
int	getClustersNumber()
int	getCovarianceMatrixType()
void	getCovs(java.util.List<Mat> covs)
Mat	getMeans()
TermCriteria	getTermCriteria()
Mat	getWeights()
double[]	predict2(Mat sample, Mat probs)
void	setClustersNumber(int val)
void	setCovarianceMatrixType(int val)
void	setTermCriteria(TermCriteria val)
boolean	trainE(Mat samples, Mat means0)
boolean	trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels, Mat probs)
boolean	trainEM(Mat samples)
boolean	trainEM(Mat samples, Mat logLikelihoods, Mat labels, Mat probs)
boolean	trainM(Mat samples, Mat probs0)
boolean	trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels, Mat probs)

Methods inherited from class org.opencv.ml.StatModel

empty, getVarCount, isClassifier, isTrained, predict, predict, train

Methods inherited from class org.opencv.core.Algorithm

clear, getDefaultName, save

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

COV_MAT_DEFAULT

public static final int COV_MAT_DEFAULT

See Also:

Constant Field Values

COV_MAT_DIAGONAL

public static final int COV_MAT_DIAGONAL

See Also:

Constant Field Values

COV_MAT_GENERIC

public static final int COV_MAT_GENERIC

See Also:

Constant Field Values

COV_MAT_SPHERICAL

public static final int COV_MAT_SPHERICAL

See Also:

Constant Field Values

DEFAULT_MAX_ITERS

public static final int DEFAULT_MAX_ITERS

See Also:

Constant Field Values

DEFAULT_NCLUSTERS

public static final int DEFAULT_NCLUSTERS

See Also:

Constant Field Values

START_AUTO_STEP

public static final int START_AUTO_STEP

See Also:

Constant Field Values

START_E_STEP

public static final int START_E_STEP

See Also:

Constant Field Values

START_M_STEP

public static final int START_M_STEP

See Also:

Constant Field Values

Method Detail

create

public static EM create()

getClustersNumber

public int getClustersNumber()

getCovarianceMatrixType

public int getCovarianceMatrixType()

getCovs

public void getCovs(java.util.List<Mat> covs)

getMeans

public Mat getMeans()

getTermCriteria

public TermCriteria getTermCriteria()

getWeights

public Mat getWeights()

predict2

public double[] predict2(Mat sample,
                         Mat probs)

setClustersNumber

public void setClustersNumber(int val)

setCovarianceMatrixType

public void setCovarianceMatrixType(int val)

setTermCriteria

public void setTermCriteria(TermCriteria val)

trainE

public boolean trainE(Mat samples,
                      Mat means0)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0,
                      Mat weights0,
                      Mat logLikelihoods,
                      Mat labels,
                      Mat probs)

trainEM

public boolean trainEM(Mat samples)

trainEM

public boolean trainEM(Mat samples,
                       Mat logLikelihoods,
                       Mat labels,
                       Mat probs)

trainM

public boolean trainM(Mat samples,
                      Mat probs0)

trainM

public boolean trainM(Mat samples,
                      Mat probs0,
                      Mat logLikelihoods,
                      Mat labels,
                      Mat probs)