Uses of Class
moa.cluster.Clustering

Packages that use Clustering

Package	Description
moa.clusterers
moa.clusterers.clustream
moa.clusterers.clustree
moa.clusterers.denstream
moa.clusterers.macro
moa.clusterers.macro.dbscan
moa.clusterers.outliers
moa.clusterers.streamkm
moa.evaluation
moa.gui.visualization
moa.streams.clustering

Uses of Clustering in moa.clusterers

Fields in moa.clusterers declared as Clustering

Modifier and Type	Field and Description
protected Clustering	AbstractClusterer.clustering

Methods in moa.clusterers that return Clustering

Modifier and Type	Method and Description
static Clustering	KMeans.gaussianMeans(Clustering gtClustering, Clustering clustering)
Clustering	WekaClusteringAlgorithm.getClusteringResult()
Clustering	ClusterGenerator.getClusteringResult()
Clustering	Clusterer.getClusteringResult()
Clustering	CobWeb.getClusteringResult()
Clustering	ClusterGenerator.getMicroClusteringResult()
Clustering	AbstractClusterer.getMicroClusteringResult()
Clustering	Clusterer.getMicroClusteringResult()
static Clustering	KMeans.kMeans(Cluster[] centers, List<? extends Cluster> data) This kMeans implementation clusters a big number of microclusters into a smaller amount of macro clusters.

Methods in moa.clusterers with parameters of type Clustering

Modifier and Type	Method and Description
static Clustering	KMeans.gaussianMeans(Clustering gtClustering, Clustering clustering)
void	ClusterGenerator.setSourceClustering(Clustering source)

Uses of Clustering in moa.clusterers.clustream

Methods in moa.clusterers.clustream that return Clustering

Modifier and Type	Method and Description
protected static Clustering	WithKmeans.cleanUpKMeans(Clustering kMeansResult, ArrayList<CFCluster> microclusters) Rearrange the k-means result into a set of CFClusters, cleaning up the redundancies.
Clustering	WithKmeans.getClusteringResult()
Clustering	Clustream.getClusteringResult()
Clustering	WithKmeans.getClusteringResult(Clustering gtClustering)
Clustering	WithKmeans.getMicroClusteringResult()
Clustering	Clustream.getMicroClusteringResult()
static Clustering	WithKmeans.kMeans_gta(int k, Clustering clustering, Clustering gtClustering) k-means of (micro)clusters, with ground-truth-aided initialization.
static Clustering	WithKmeans.kMeans_rand(int k, Clustering clustering) k-means of (micro)clusters, with randomized initialization.
protected static Clustering	WithKmeans.kMeans(int k, Cluster[] centers, List<? extends Cluster> data) (The Actual Algorithm) k-means of (micro)clusters, with specified initialization points.
static Clustering	Clustream.kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
static Clustering	Clustream.kMeans(int k, List<? extends Cluster> data)

Methods in moa.clusterers.clustream with parameters of type Clustering

Modifier and Type	Method and Description
protected static Clustering	WithKmeans.cleanUpKMeans(Clustering kMeansResult, ArrayList<CFCluster> microclusters) Rearrange the k-means result into a set of CFClusters, cleaning up the redundancies.
Clustering	WithKmeans.getClusteringResult(Clustering gtClustering)
static Clustering	WithKmeans.kMeans_gta(int k, Clustering clustering, Clustering gtClustering) k-means of (micro)clusters, with ground-truth-aided initialization.
static Clustering	WithKmeans.kMeans_rand(int k, Clustering clustering) k-means of (micro)clusters, with randomized initialization.

Uses of Clustering in moa.clusterers.clustree

Methods in moa.clusterers.clustree that return Clustering

Modifier and Type	Method and Description
Clustering	ClusTree.getClustering(long currentTime, int targetLevel)
Clustering	ClusTree.getClusteringResult()
Clustering	ClusTree.getMicroClusteringResult()

Uses of Clustering in moa.clusterers.denstream

Methods in moa.clusterers.denstream that return Clustering

Modifier and Type	Method and Description
Clustering	WithDBSCAN.getClusteringResult()
Clustering	WithDBSCAN.getMicroClusteringResult()

Uses of Clustering in moa.clusterers.macro

Methods in moa.clusterers.macro that return Clustering

Modifier and Type	Method and Description
Clustering	IDenseMacroCluster.getClustering()
Clustering	NonConvexCluster.getClustering()
Clustering	IMacroClusterer.getClustering(Clustering microClusters)
abstract Clustering	AbstractMacroClusterer.getClustering(Clustering microClusters)

Methods in moa.clusterers.macro with parameters of type Clustering

Modifier and Type	Method and Description
Clustering	IMacroClusterer.getClustering(Clustering microClusters)
abstract Clustering	AbstractMacroClusterer.getClustering(Clustering microClusters)
protected void	AbstractMacroClusterer.setClusterIDs(Clustering clustering)

Uses of Clustering in moa.clusterers.macro.dbscan

Methods in moa.clusterers.macro.dbscan that return Clustering

Modifier and Type	Method and Description
Clustering	DBScan.getClustering(Clustering microClusters)

Methods in moa.clusterers.macro.dbscan with parameters of type Clustering

Modifier and Type	Method and Description
Clustering	DBScan.getClustering(Clustering microClusters)

Constructors in moa.clusterers.macro.dbscan with parameters of type Clustering

Constructor and Description
DBScan(Clustering microClusters, double eps, int MinPts)

Uses of Clustering in moa.clusterers.outliers

Methods in moa.clusterers.outliers that return Clustering

Modifier and Type	Method and Description
Clustering	MyBaseOutlierDetector.getClusteringResult()
Clustering	MyBaseOutlierDetector.getMicroClusteringResult()

Uses of Clustering in moa.clusterers.streamkm

Methods in moa.clusterers.streamkm that return Clustering

Modifier and Type	Method and Description
Clustering	StreamKM.getClusteringResult()

Uses of Clustering in moa.evaluation

Methods in moa.evaluation with parameters of type Clustering

Modifier and Type	Method and Description
double	StatisticalCollection.cindex(Clustering clustering, ArrayList<DataPoint> points)
void	F1.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	EntropyCollection.evaluateClustering(Clustering fclustering, Clustering hClustering, ArrayList<DataPoint> points)
protected abstract void	MeasureCollection.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	CMM.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	Accuracy.evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
void	SilhouetteCoefficient.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	General.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	ChangeDetectionMeasures.evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
void	StatisticalCollection.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	OutlierPerformance.evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void	SSQ.evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
double	MeasureCollection.evaluateClusteringPerformance(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)

Constructors in moa.evaluation with parameters of type Clustering

Constructor and Description
CMM_GTAnalysis(Clustering trueClustering, ArrayList<DataPoint> points, boolean enableClassMerge)
MembershipMatrix(Clustering foundClustering, ArrayList<DataPoint> points)

Uses of Clustering in moa.gui.visualization

Methods in moa.gui.visualization with parameters of type Clustering

Modifier and Type	Method and Description
void	StreamPanel.drawGTClustering(Clustering clustering, List<DataPoint> points, Color color)
void	StreamPanel.drawMacroClustering(Clustering clustering, List<DataPoint> points, Color color)
void	StreamPanel.drawMicroClustering(Clustering clustering, List<DataPoint> points, Color color)

Uses of Clustering in moa.streams.clustering

Methods in moa.streams.clustering that return Clustering

Modifier and Type	Method and Description
Clustering	RandomRBFGeneratorEvents.getGeneratingClusters()
Clustering	RandomRBFGeneratorEvents.getMicroClustering()