org.opencv.ml

Class KNearest

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

org.opencv.ml.KNearest

public class KNearest
extends StatModel

Field Summary

Fields

Modifier and Type	Field and Description
static int	BRUTE_FORCE
static int	KDTREE

Fields inherited from class org.opencv.ml.StatModel

COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	KNearest(long addr)

Method Summary

Modifier and Type	Method and Description
static KNearest	__fromPtr__(long addr)
static KNearest	create()
protected void	finalize()
float	findNearest(Mat samples, int k, Mat results)
float	findNearest(Mat samples, int k, Mat results, Mat neighborResponses, Mat dist)
int	getAlgorithmType()
int	getDefaultK()
int	getEmax()
boolean	getIsClassifier()
void	setAlgorithmType(int val)
void	setDefaultK(int val)
void	setEmax(int val)
void	setIsClassifier(boolean val)

Methods inherited from class org.opencv.ml.StatModel

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

Methods inherited from class org.opencv.core.Algorithm

clear, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Field Detail

BRUTE_FORCE

public static final int BRUTE_FORCE

See Also:

Constant Field Values

KDTREE

public static final int KDTREE

See Also:

Constant Field Values

Constructor Detail

KNearest

protected KNearest(long addr)

Method Detail

__fromPtr__

public static KNearest __fromPtr__(long addr)

create

public static KNearest create()

getIsClassifier

public boolean getIsClassifier()

findNearest

public float findNearest(Mat samples,
                         int k,
                         Mat results,
                         Mat neighborResponses,
                         Mat dist)

findNearest

public float findNearest(Mat samples,
                         int k,
                         Mat results)

getAlgorithmType

public int getAlgorithmType()

getDefaultK

public int getDefaultK()

getEmax

public int getEmax()

setAlgorithmType

public void setAlgorithmType(int val)

setDefaultK

public void setDefaultK(int val)

setEmax

public void setEmax(int val)

setIsClassifier

public void setIsClassifier(boolean val)

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class StatModel

Throws:

java.lang.Throwable