moa.cluster

Class Clustering

java.lang.Object

moa.AbstractMOAObject

moa.cluster.Clustering

All Implemented Interfaces:

Serializable, MOAObject

public class Clustering
extends AbstractMOAObject

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Clustering()
Clustering(ArrayList<DataPoint> points, double overlapThreshold, int initMinPoints)
Clustering(AutoExpandVector<Cluster> clusters)
Clustering(Cluster[] clusters)
Clustering(List<? extends weka.core.Instance> points)

Method Summary

Methods

Modifier and Type	Method and Description
void	add(Cluster cluster) add a cluster to the clustering
static HashMap<Integer,Integer>	classValues(List<? extends weka.core.Instance> points)
int	dimension()
Cluster	get(int index) remove a cluster from the clustering
AutoExpandVector<Cluster>	getClustering()
AutoExpandVector<Cluster>	getClusteringCopy()
void	getDescription(StringBuilder sb, int i) Returns a string representation of this object.
double	getMaxInclusionProbability(weka.core.Instance point)
void	remove(int index) remove a cluster from the clustering
int	size()

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

Constructor Detail

Clustering

public Clustering()

Clustering

public Clustering(Cluster[] clusters)

Clustering

public Clustering(List<? extends weka.core.Instance> points)

Clustering

public Clustering(ArrayList<DataPoint> points,
          double overlapThreshold,
          int initMinPoints)

Clustering

public Clustering(AutoExpandVector<Cluster> clusters)

Method Detail

classValues

public static HashMap<Integer,Integer> classValues(List<? extends weka.core.Instance> points)

Parameters:

points -

Returns:

an array with the min and max class label value

add

public void add(Cluster cluster)

add a cluster to the clustering

remove

public void remove(int index)

remove a cluster from the clustering

get

public Cluster get(int index)

remove a cluster from the clustering

getClustering

public AutoExpandVector<Cluster> getClustering()

Returns:

the Clustering as an AutoExpandVector

getClusteringCopy

public AutoExpandVector<Cluster> getClusteringCopy()

Returns:

A deepcopy of the Clustering as an AutoExpandVector

size

public int size()

Returns:

the number of clusters

dimension

public int dimension()

Returns:

the number of dimensions of this clustering

getDescription

public void getDescription(StringBuilder sb,
                  int i)

Description copied from interface: MOAObject

Returns a string representation of this object. Used in AbstractMOAObject.toString to give a string representation of the object.

Parameters:

sb - the stringbuilder to add the description

i - the number of characters to indent

getMaxInclusionProbability

public double getMaxInclusionProbability(weka.core.Instance point)