moa.clusterers.clustream

Class Clustream

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.clusterers.AbstractClusterer

moa.clusterers.clustream.Clustream

All Implemented Interfaces:

Serializable, Clusterer, AWTRenderable, MOAObject, OptionHandler

public class Clustream
extends AbstractClusterer

Citation: CluStream: Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Clustering Evolving Data Streams. VLDB 2003: 81-92

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
IntOption	kernelRadiFactorOption
IntOption	maxNumKernelsOption
IntOption	timeWindowOption

Fields inherited from class moa.clusterers.AbstractClusterer

clustererRandom, clustering, evaluateMicroClusteringOption, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

classOptionNamesToPreparedObjects, options

Constructor Summary

Constructors

Constructor and Description
Clustream()

Method Summary

Methods

Modifier and Type	Method and Description
Clustering	getClusteringResult()
Clustering	getMicroClusteringResult()
void	getModelDescription(StringBuilder out, int indent)
protected Measurement[]	getModelMeasurementsImpl()
String	getName()
double[]	getVotesForInstance(weka.core.Instance inst)
boolean	implementsMicroClusterer()
boolean	isRandomizable()
static Clustering	kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
static Clustering	kMeans(int k, List<? extends Cluster> data)
void	resetLearningImpl()
void	trainOnInstanceImpl(weka.core.Instance instance)

Methods inherited from class moa.clusterers.AbstractClusterer

contextIsCompatible, copy, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, getSubClusterers, keepClassLabel, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance

Methods inherited from class moa.options.AbstractOptionHandler

discoverOptionsViaReflection, getCLICreationString, getOptions, getPreparedClassOption, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse

Methods inherited from class moa.AbstractMOAObject

copy, measureByteSize, measureByteSize, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface moa.options.OptionHandler

getCLICreationString, getOptions, prepareForUse, prepareForUse

Methods inherited from interface moa.MOAObject

measureByteSize

Field Detail

timeWindowOption

public IntOption timeWindowOption

maxNumKernelsOption

public IntOption maxNumKernelsOption

kernelRadiFactorOption

public IntOption kernelRadiFactorOption

Constructor Detail

Clustream

public Clustream()

Method Detail

resetLearningImpl

public void resetLearningImpl()

Specified by:

resetLearningImpl in class AbstractClusterer

trainOnInstanceImpl

public void trainOnInstanceImpl(weka.core.Instance instance)

Specified by:

trainOnInstanceImpl in class AbstractClusterer

getMicroClusteringResult

public Clustering getMicroClusteringResult()

Specified by:

getMicroClusteringResult in interface Clusterer

Overrides:

getMicroClusteringResult in class AbstractClusterer

implementsMicroClusterer

public boolean implementsMicroClusterer()

Specified by:

implementsMicroClusterer in interface Clusterer

Overrides:

implementsMicroClusterer in class AbstractClusterer

getClusteringResult

public Clustering getClusteringResult()

getName

public String getName()

kMeans

public static Clustering kMeans(int k,
                List<? extends Cluster> data)

kMeans

public static Clustering kMeans(int k,
                Cluster[] centers,
                List<? extends Cluster> data)

getModelMeasurementsImpl

protected Measurement[] getModelMeasurementsImpl()

Specified by:

getModelMeasurementsImpl in class AbstractClusterer

getModelDescription

public void getModelDescription(StringBuilder out,
                       int indent)

Specified by:

getModelDescription in class AbstractClusterer

isRandomizable

public boolean isRandomizable()

getVotesForInstance

public double[] getVotesForInstance(weka.core.Instance inst)