jsat.clustering

Class MEDDIT

java.lang.Object

jsat.clustering.PAM

jsat.clustering.MEDDIT

All Implemented Interfaces:

java.io.Serializable, Clusterer, KClusterer

public class MEDDIT
extends PAM

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MEDDIT()
MEDDIT(DistanceMetric dm)
MEDDIT(DistanceMetric dm, java.util.Random rand)
MEDDIT(DistanceMetric dm, java.util.Random rand, SeedSelectionMethods.SeedSelection seedSelection)

Method Summary

Modifier and Type	Method and Description
double	getTolerance()
static int	medoid(boolean parallel, java.util.Collection<java.lang.Integer> indecies, double tol, java.util.List<? extends Vec> X, DistanceMetric dm, java.util.List<java.lang.Double> accel) Computes the medoid of a sub-set of data
static int	medoid(boolean parallel, java.util.Collection<java.lang.Integer> indecies, java.util.List<? extends Vec> X, DistanceMetric dm, java.util.List<java.lang.Double> accel) Computes the medoid of a sub-set of data
static int	medoid(boolean parallel, java.util.List<? extends Vec> X, DistanceMetric dm) Computes the medoid of the data
static int	medoid(boolean parallel, java.util.List<? extends Vec> X, double tol, DistanceMetric dm) Computes the medoid of the data
void	setTolerance(double tolerance)

Methods inherited from class jsat.clustering.PAM

clone, cluster, cluster, cluster, getDistanceMetric, getMaxIterations, getMedoids, getSeedSelection, 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

MEDDIT

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

MEDDIT

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

MEDDIT

public MEDDIT(DistanceMetric dm)

MEDDIT

public MEDDIT()

Method Detail

setTolerance

public void setTolerance(double tolerance)

getTolerance

public double getTolerance()

medoid

public static int medoid(boolean parallel,
                         java.util.List<? extends Vec> X,
                         DistanceMetric dm)

Computes the medoid of the data

Parameters:

parallel - whether or not the computation should be done using multiple cores

X - the list of all data

dm - the distance metric to get the medoid with respect to

Returns:

the index of the point in X that is the medoid

medoid

public static int medoid(boolean parallel,
                         java.util.List<? extends Vec> X,
                         double tol,
                         DistanceMetric dm)

Computes the medoid of the data

Parameters:

parallel - whether or not the computation should be done using multiple cores

X - the list of all data

tol -

dm - the distance metric to get the medoid with respect to

Returns:

the index of the point in X that is the medoid

medoid

public static int medoid(boolean parallel,
                         java.util.Collection<java.lang.Integer> indecies,
                         java.util.List<? extends Vec> X,
                         DistanceMetric dm,
                         java.util.List<java.lang.Double> accel)

Computes the medoid of a sub-set of data

Parameters:

parallel - whether or not the computation should be done using multiple cores

indecies - the indexes of the points to get the medoid of

X - the list of all data

dm - the distance metric to get the medoid with respect to

accel - the acceleration cache for the distance metric

Returns:

the index value contained within indecies that is the medoid

medoid

public static int medoid(boolean parallel,
                         java.util.Collection<java.lang.Integer> indecies,
                         double tol,
                         java.util.List<? extends Vec> X,
                         DistanceMetric dm,
                         java.util.List<java.lang.Double> accel)

Computes the medoid of a sub-set of data

Parameters:

parallel - whether or not the computation should be done using multiple cores

indecies - the indexes of the points to get the medoid of

tol -

X - the list of all data

dm - the distance metric to get the medoid with respect to

accel - the acceleration cache for the distance metric

Returns:

the index value contained within indecies that is the medoid