Uses of Class
moa.cluster.Clustering
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Uses of Clustering in moa.clusterers
Fields in moa.clusterers declared as Clustering Modifier and Type Field Description protected Clustering
AbstractClusterer. clustering
Methods in moa.clusterers that return Clustering Modifier and Type Method Description static Clustering
KMeans. gaussianMeans(Clustering gtClustering, Clustering clustering)
Clustering
Clusterer. getClusteringResult()
Clustering
ClusterGenerator. getClusteringResult()
Clustering
CobWeb. getClusteringResult()
Clustering
WekaClusteringAlgorithm. getClusteringResult()
Clustering
AbstractClusterer. getMicroClusteringResult()
Clustering
Clusterer. getMicroClusteringResult()
Clustering
ClusterGenerator. 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 Description static Clustering
KMeans. gaussianMeans(Clustering gtClustering, Clustering clustering)
void
ClusterGenerator. setSourceClustering(Clustering source)
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Uses of Clustering in moa.clusterers.clustream
Methods in moa.clusterers.clustream that return Clustering Modifier and Type Method 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
Clustream. getClusteringResult()
Clustering
WithKmeans. getClusteringResult()
Clustering
WithKmeans. getClusteringResult(Clustering gtClustering)
Clustering
Clustream. getMicroClusteringResult()
Clustering
WithKmeans. getMicroClusteringResult()
static Clustering
Clustream. kMeans(int k, List<? extends Cluster> data)
static Clustering
Clustream. kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
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
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.Methods in moa.clusterers.clustream with parameters of type Clustering Modifier and Type Method 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 Description Clustering
ClusTree. getClustering(long currentTime, int targetLevel)
Clustering
ClusTree. getClusteringResult()
Clustering
ClusTree. getMicroClusteringResult()
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Uses of Clustering in moa.clusterers.denstream
Methods in moa.clusterers.denstream that return Clustering Modifier and Type Method Description Clustering
WithDBSCAN. getClusteringResult()
Clustering
WithDBSCAN. getMicroClusteringResult()
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Uses of Clustering in moa.clusterers.dstream
Methods in moa.clusterers.dstream that return Clustering Modifier and Type Method Description Clustering
Dstream. getClusteringResult()
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Uses of Clustering in moa.clusterers.kmeanspm
Methods in moa.clusterers.kmeanspm that return Clustering Modifier and Type Method Description Clustering
ClusteringTreeNode. addToClustering(Clustering clustering)
Adds all ClusterFeatures of the tree with this node as the root to a Clustering.Clustering
BICO. getClusteringResult()
Clustering
BICO. getMicroClusteringResult()
Methods in moa.clusterers.kmeanspm with parameters of type Clustering Modifier and Type Method Description Clustering
ClusteringTreeNode. addToClustering(Clustering clustering)
Adds all ClusterFeatures of the tree with this node as the root to a Clustering. -
Uses of Clustering in moa.clusterers.macro
Methods in moa.clusterers.macro that return Clustering Modifier and Type Method Description abstract Clustering
AbstractMacroClusterer. getClustering(Clustering microClusters)
Clustering
IDenseMacroCluster. getClustering()
Clustering
IMacroClusterer. getClustering(Clustering microClusters)
Clustering
NonConvexCluster. getClustering()
Methods in moa.clusterers.macro with parameters of type Clustering Modifier and Type Method Description abstract Clustering
AbstractMacroClusterer. getClustering(Clustering microClusters)
Clustering
IMacroClusterer. getClustering(Clustering microClusters)
protected void
AbstractMacroClusterer. setClusterIDs(Clustering clustering)
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Uses of Clustering in moa.clusterers.macro.dbscan
Methods in moa.clusterers.macro.dbscan that return Clustering Modifier and Type Method Description Clustering
DBScan. getClustering(Clustering microClusters)
Methods in moa.clusterers.macro.dbscan with parameters of type Clustering Modifier and Type Method Description Clustering
DBScan. getClustering(Clustering microClusters)
Constructors in moa.clusterers.macro.dbscan with parameters of type Clustering Constructor Description DBScan(Clustering microClusters, double eps, int MinPts)
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Uses of Clustering in moa.clusterers.meta
Methods in moa.clusterers.meta that return Clustering Modifier and Type Method Description Clustering
EnsembleClustererAbstract. getClusteringResult()
Clustering
ConfStream. getMicroClusteringResult()
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Uses of Clustering in moa.clusterers.outliers
Methods in moa.clusterers.outliers that return Clustering Modifier and Type Method Description Clustering
MyBaseOutlierDetector. getClusteringResult()
Clustering
MyBaseOutlierDetector. getMicroClusteringResult()
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Uses of Clustering in moa.clusterers.streamkm
Methods in moa.clusterers.streamkm that return Clustering Modifier and Type Method Description Clustering
StreamKM. getClusteringResult()
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Uses of Clustering in moa.evaluation
Methods in moa.evaluation with parameters of type Clustering Modifier and Type Method Description double
StatisticalCollection. cindex(Clustering clustering, ArrayList<DataPoint> points)
void
Accuracy. evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
void
ALMeasureCollection. evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
void
ChangeDetectionMeasures. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
CMM. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
EntropyCollection. evaluateClustering(Clustering fclustering, Clustering hClustering, ArrayList<DataPoint> points)
void
F1. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
General. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
protected abstract void
MeasureCollection. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
OutlierPerformance. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
protected void
Separation. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
SilhouetteCoefficient. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
void
SSQ. evaluateClustering(Clustering clustering, Clustering trueClsutering, ArrayList<DataPoint> points)
void
StatisticalCollection. evaluateClustering(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
double
MeasureCollection. evaluateClusteringPerformance(Clustering clustering, Clustering trueClustering, ArrayList<DataPoint> points)
Constructors in moa.evaluation with parameters of type Clustering Constructor Description CMM_GTAnalysis(Clustering trueClustering, ArrayList<DataPoint> points, boolean enableClassMerge)
MembershipMatrix(Clustering foundClustering, ArrayList<DataPoint> points)
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Uses of Clustering in moa.gui.visualization
Methods in moa.gui.visualization with parameters of type Clustering Modifier and Type Method 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)
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Uses of Clustering in moa.streams.clustering
Methods in moa.streams.clustering that return Clustering Modifier and Type Method Description Clustering
RandomRBFGeneratorEvents. getGeneratingClusters()
Clustering
RandomRBFGeneratorEvents. getMicroClustering()
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