jsat.clustering

Class CLARA

java.lang.Object

jsat.clustering.PAM

jsat.clustering.CLARA

All Implemented Interfaces:

java.io.Serializable, Clusterer, KClusterer

public class CLARA
extends PAM

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
CLARA()
CLARA(CLARA toCopy) Copy constructor
CLARA(DistanceMetric dm)
CLARA(DistanceMetric dm, java.util.Random rand)
CLARA(DistanceMetric dm, java.util.Random rand, SeedSelectionMethods.SeedSelection seedSelection)
CLARA(int sampleCount, DistanceMetric dm, java.util.Random rand, SeedSelectionMethods.SeedSelection seedSelection)
CLARA(int sampleSize, int sampleCount, DistanceMetric dm, java.util.Random rand, SeedSelectionMethods.SeedSelection seedSelection)

Method Summary

Modifier and Type	Method and Description
CLARA	clone()
int	getSampleCount()
int	getSampleSize()
void	setSampleCount(int sampleCount) Sets the number of times PAM will be applied to different samples from the data set.
void	setSampleSize(int sampleSize) Sets the number of samples CLARA should take from the data set to perform PAM on.

Methods inherited from class jsat.clustering.PAM

cluster, cluster, cluster, getDistanceMetric, getMaxIterations, getMedoids, getSeedSelection, medoid, medoid, setDistanceMetric, setMaxIterations, setSeedSelection, setStoreMedoids

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.clustering.KClusterer

cluster, cluster, cluster, cluster, cluster, cluster

Methods inherited from interface jsat.clustering.Clusterer

cluster, cluster, cluster, supportsWeightedData

Constructor Detail

CLARA

public CLARA(int sampleSize,
             int sampleCount,
             DistanceMetric dm,
             java.util.Random rand,
             SeedSelectionMethods.SeedSelection seedSelection)

CLARA

public CLARA(int sampleCount,
             DistanceMetric dm,
             java.util.Random rand,
             SeedSelectionMethods.SeedSelection seedSelection)

CLARA

public CLARA(DistanceMetric dm,
             java.util.Random rand,
             SeedSelectionMethods.SeedSelection seedSelection)

CLARA

public CLARA(DistanceMetric dm,
             java.util.Random rand)

CLARA

public CLARA(DistanceMetric dm)

CLARA

public CLARA()

CLARA

public CLARA(CLARA toCopy)

Copy constructor

Parameters:

toCopy - the object to copy

Method Detail

getSampleCount

public int getSampleCount()

Returns:

the number of times PAM will be applied to a sample from the data set.

setSampleCount

public void setSampleCount(int sampleCount)

Sets the number of times PAM will be applied to different samples from the data set.

Parameters:

sampleCount - the number of times to apply sampeling.

getSampleSize

public int getSampleSize()

Returns:

the number of samples that will be taken to perform PAM on.

setSampleSize

public void setSampleSize(int sampleSize)

Sets the number of samples CLARA should take from the data set to perform PAM on.

Parameters:

sampleSize - the number of samples to take

clone

public CLARA clone()

Specified by:

clone in interface Clusterer

Specified by:

clone in interface KClusterer

Overrides:

clone in class PAM