moa.cluster

Class CFCluster

java.lang.Object

moa.AbstractMOAObject

moa.cluster.Cluster

moa.cluster.SphereCluster

moa.cluster.CFCluster

All Implemented Interfaces:

Serializable, MOAObject

Direct Known Subclasses:

ClusKernel, ClustreamKernel, MicroCluster, NonConvexCluster

public abstract class CFCluster
extends SphereCluster

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double[]	LS Linear sum of all the points added to the cluster.
protected double	N Number of points in the cluster.
protected double	radiusFactor
double[]	SS Squared sum of all the points added to the cluster.

Constructor Summary

Constructors

Modifier	Constructor and Description
	CFCluster(CFCluster cluster)
	CFCluster(double[] center, int dimensions)
	CFCluster(weka.core.Instance instance, int dimensions) Instantiates an empty kernel with the given dimensionality.
protected	CFCluster(int dimensions)

Method Summary

Methods

Modifier and Type	Method and Description
void	add(CFCluster cluster)
static void	addVectors(double[] a1, double[] a2) Adds the second array to the first array element by element.
double[]	getCenter()
abstract CFCluster	getCF()
abstract double	getInclusionProbability(weka.core.Instance instance) Returns the probability of the given point belonging to this cluster.
double	getN()
abstract double	getRadius() See interface Cluster
double	getWeight() See interface Cluster
void	setN(double N)

Methods inherited from class moa.cluster.SphereCluster

combine, getCenterDistance, getCenterDistance, getClusterSpecificInfo, getDistanceVector, getDistanceVector, getHullDistance, merge, overlapRadiusDegree, overlapSave, sample, setCenter, setRadius, setWeight

Methods inherited from class moa.cluster.Cluster

getDescription, getGroundTruth, getId, getInfo, getMeasureValue, isGroundTruth, setGroundTruth, setId, setMeasureValue, setMeasureValue

Methods inherited from class moa.AbstractMOAObject

copy, copy, measureByteSize, measureByteSize, toString

Methods inherited from class java.lang.Object

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

Field Detail

radiusFactor

protected double radiusFactor

N

protected double N

Number of points in the cluster.

LS

public double[] LS

Linear sum of all the points added to the cluster.

SS

public double[] SS

Squared sum of all the points added to the cluster.

Constructor Detail

CFCluster

public CFCluster(weka.core.Instance instance,
         int dimensions)

Instantiates an empty kernel with the given dimensionality.

Parameters:

dimensions - The number of dimensions of the points that can be in this kernel.

CFCluster

protected CFCluster(int dimensions)

CFCluster

public CFCluster(double[] center,
         int dimensions)

CFCluster

public CFCluster(CFCluster cluster)

Method Detail

add

public void add(CFCluster cluster)

getCF

public abstract CFCluster getCF()

getCenter

public double[] getCenter()

Overrides:

getCenter in class SphereCluster

Returns:

this kernels' center

getInclusionProbability

public abstract double getInclusionProbability(weka.core.Instance instance)

Description copied from class: Cluster

Returns the probability of the given point belonging to this cluster.

Overrides:

getInclusionProbability in class SphereCluster

Returns:

a value between 0 and 1

getRadius

public abstract double getRadius()

See interface Cluster

Overrides:

getRadius in class SphereCluster

Returns:

The radius of the cluster.

getWeight

public double getWeight()

See interface Cluster

Overrides:

getWeight in class SphereCluster

Returns:

The weight.

See Also:

Cluster.getWeight()

setN

public void setN(double N)

getN

public double getN()

addVectors

public static void addVectors(double[] a1,
              double[] a2)

Adds the second array to the first array element by element. The arrays must have the same length.

Parameters:

a1 - Vector to which the second vector is added.

a2 - Vector to be added. This vector does not change.