moa.clusterers.denstream

Class WithDBSCAN

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.clusterers.AbstractClusterer

moa.clusterers.denstream.WithDBSCAN

All Implemented Interfaces:

Serializable, Clusterer, AWTRenderable, MOAObject, OptionHandler

public class WithDBSCAN
extends AbstractClusterer

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
FloatOption	betaOption
FloatOption	epsilonOption
IntOption	horizonOption
IntOption	initPointsOption
FloatOption	lambdaOption
FloatOption	muOption
protected int	numInitPoints
protected int	numProcessedPerUnit
FloatOption	offlineOption
protected int	processingSpeed
IntOption	speedOption

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
WithDBSCAN()

Method Summary

Methods

Modifier and Type	Method and Description
Clustering	getClusteringResult()
Clustering	getMicroClusteringResult()
void	getModelDescription(StringBuilder out, int indent)
protected Measurement[]	getModelMeasurementsImpl()
String	getParameterString()
double[]	getVotesForInstance(weka.core.Instance inst)
boolean	implementsMicroClusterer()
void	initialDBScan()
boolean	isRandomizable()
void	resetLearningImpl()
void	trainOnInstanceImpl(weka.core.Instance inst)

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

horizonOption

public IntOption horizonOption

epsilonOption

public FloatOption epsilonOption

betaOption

public FloatOption betaOption

muOption

public FloatOption muOption

initPointsOption

public IntOption initPointsOption

offlineOption

public FloatOption offlineOption

lambdaOption

public FloatOption lambdaOption

speedOption

public IntOption speedOption

numInitPoints

protected int numInitPoints

numProcessedPerUnit

protected int numProcessedPerUnit

processingSpeed

protected int processingSpeed

Constructor Detail

WithDBSCAN

public WithDBSCAN()

Method Detail

resetLearningImpl

public void resetLearningImpl()

Specified by:

resetLearningImpl in class AbstractClusterer

initialDBScan

public void initialDBScan()

trainOnInstanceImpl

public void trainOnInstanceImpl(weka.core.Instance inst)

Specified by:

trainOnInstanceImpl in class AbstractClusterer

getClusteringResult

public Clustering getClusteringResult()

implementsMicroClusterer

public boolean implementsMicroClusterer()

Specified by:

implementsMicroClusterer in interface Clusterer

Overrides:

implementsMicroClusterer in class AbstractClusterer

getMicroClusteringResult

public Clustering getMicroClusteringResult()

Specified by:

getMicroClusteringResult in interface Clusterer

Overrides:

getMicroClusteringResult in class AbstractClusterer

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)

getParameterString

public String getParameterString()