Uses of Class
moa.gui.visualization.DataPoint
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Packages that use DataPoint Package Description moa.cluster moa.clusterers.meta moa.evaluation moa.gui.visualization -
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Uses of DataPoint in moa.cluster
Constructor parameters in moa.cluster with type arguments of type DataPoint Constructor Description Clustering(ArrayList<DataPoint> points, double overlapThreshold, int initMinPoints)
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Uses of DataPoint in moa.clusterers.meta
Fields in moa.clusterers.meta with type parameters of type DataPoint Modifier and Type Field Description ArrayList<DataPoint>
EnsembleClustererAbstract. windowPoints
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Uses of DataPoint in moa.evaluation
Subclasses of DataPoint in moa.evaluation Modifier and Type Class Description protected class
CMM_GTAnalysis.CMMPoint
Wrapper class for data points to store CMM relevant attributesFields in moa.evaluation declared as DataPoint Modifier and Type Field Description protected DataPoint
CMM_GTAnalysis.CMMPoint. p
Reference to original pointMethod parameters in moa.evaluation with type arguments of type DataPoint 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 DataPoint Constructor Description CMMPoint(DataPoint point, int id)
Constructor parameters in moa.evaluation with type arguments of type DataPoint Constructor Description CMM_GTAnalysis(Clustering trueClustering, ArrayList<DataPoint> points, boolean enableClassMerge)
MembershipMatrix(Clustering foundClustering, ArrayList<DataPoint> points)
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Uses of DataPoint in moa.gui.visualization
Methods in moa.gui.visualization with parameters of type DataPoint Modifier and Type Method Description void
StreamOutlierPanel. drawPoint(DataPoint point, boolean bShowDecay, boolean bRedrawPointImg)
void
StreamPanel. drawPoint(DataPoint point)
double
DataPoint. getDistance(DataPoint other)
static Color
PointPanel. getPointColorbyClass(DataPoint point, float numClasses)
Method parameters in moa.gui.visualization with type arguments of type DataPoint Modifier and Type Method Description void
RunVisualizer. drawClusterings(List<DataPoint> points0, List<DataPoint> points1)
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)
Constructors in moa.gui.visualization with parameters of type DataPoint Constructor Description PointPanel(DataPoint point, StreamPanel streamPanel, double decayRate, double decayThreshold)
Type 1: Possibly be decayed, colored by class label.PointPanel(DataPoint point, StreamPanel streamPanel, Color color)
Type 2: Never be decayed, single color.
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