Uses of Class
jwat.MatrixObservations

Packages that use MatrixObservations

Package	Description
jwat	The JWAT tool: workload characterization, as described in the user manual.
jwat.fitting.utils	Utilities of the JWAT distribution fitting views.
jwat.input	Input file formats of JWAT: standard formats such as Apache HTTP and IIS logs, plus user customized formats.
jwat.trafficAnalysis	Traffic analysis support of JWAT: aggregation and analysis of arrival data.
jwat.workloadAnalysis.clustering.fuzzyKMean	Fuzzy k-means clustering algorithm of JWAT (originally coded in Fortran in 1983 and migrated to Java in 2006).
jwat.workloadAnalysis.clustering.fuzzyKMean.panels	Panels of the JWAT fuzzy k-means clustering view.
jwat.workloadAnalysis.clustering.kMean	K-means clustering algorithm of JWAT.
jwat.workloadAnalysis.tables	Tables of the JWAT workload analysis views.
jwat.workloadAnalysis.utils	Utilities of the JWAT workload analysis (session management, variable listeners, model helpers).

Uses of MatrixObservations in jwat

Methods in jwat that return MatrixObservations

Modifier and Type	Method	Description
MatrixObservations	JWatModel.getMatrix()

Methods in jwat with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	JWatModel.setMatrix(MatrixObservations matrix)

Uses of MatrixObservations in jwat.fitting.utils

Methods in jwat.fitting.utils that return MatrixObservations

Modifier and Type	Method	Description
MatrixObservations	ModelFitting.getMatrix()

Methods in jwat.fitting.utils with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	ModelFitting.setMatrix(MatrixObservations matrix)

Uses of MatrixObservations in jwat.input

Methods in jwat.input that return MatrixObservations

Modifier and Type	Method	Description
MatrixObservations	EventFinishLoad.getSession()

Methods in jwat.input with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	ProgressStatusListener.finishedEvent(MatrixObservations m, int MaxToRead, int Readed)

Constructors in jwat.input with parameters of type MatrixObservations

Modifier	Constructor	Description
	EventFinishLoad(MatrixObservations m, int valToRead, int valReaded)

Uses of MatrixObservations in jwat.trafficAnalysis

Methods in jwat.trafficAnalysis that return MatrixObservations

Modifier and Type	Method	Description
MatrixObservations	ModelTrafficAnalysis.getMatrix()

Methods in jwat.trafficAnalysis with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	ModelTrafficAnalysis.setMatrix(MatrixObservations matrix)
void	TrafficAnalysisSession.setMatrix(MatrixObservations m)

Uses of MatrixObservations in jwat.workloadAnalysis.clustering.fuzzyKMean

Methods in jwat.workloadAnalysis.clustering.fuzzyKMean with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	FuzzyKMeanClusteringEngine.PrepFClustering(MatrixObservations m, int[] indVarSel, int nMaxClust, int nFLev, int nIter)
void	ClusteringInfosFuzzy.setError(MatrixObservations m, double err)

Constructors in jwat.workloadAnalysis.clustering.fuzzyKMean with parameters of type MatrixObservations

Modifier	Constructor	Description
	MainFuzzyKMean(ProgressShow prg, MatrixObservations m, int[] varSel, int numClust, int iteration, int fuzzyL, short trasf)

Uses of MatrixObservations in jwat.workloadAnalysis.clustering.fuzzyKMean.panels

Constructors in jwat.workloadAnalysis.clustering.fuzzyKMean.panels with parameters of type MatrixObservations

Modifier	Constructor	Description
	FuzzyInfoClustering(MatrixObservations m, DispFuzzyMatrix f, int numC, double ent, ClusteringInfosFuzzy c)

Uses of MatrixObservations in jwat.workloadAnalysis.clustering.kMean

Methods in jwat.workloadAnalysis.clustering.kMean with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	KMean.calcClusteringInfo(int numCluster, KMeanClusteringEngine.TempClusterStatistics[][] sum, short[] cAss, MatrixObservations m)
void	ClusteringInfosKMean.DOStat(int[] varSel, short[] clusAssign, MatrixObservations m)
void	ClusteringInfosKMean.Output(int[] varSel, KMeanClusteringEngine.TempClusterStatistics[][] sum, short[] clusAssign, MatrixObservations m, double oldPassw)
boolean	KMeanClusteringEngine.PrepClustering(MatrixObservations m, int numberMaximumCluster, int numberMaximumIterations, int[] chosenVariables)

Constructors in jwat.workloadAnalysis.clustering.kMean with parameters of type MatrixObservations

Modifier	Constructor	Description
	MainKMean(ProgressShow prg, MatrixObservations m, int[] varSel, int numClust, int iteration, short trasf)

Uses of MatrixObservations in jwat.workloadAnalysis.tables

Methods in jwat.workloadAnalysis.tables with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	JWatBivariateStatsTableModel.setMatrixObs(MatrixObservations m)
void	JWatUnivariateStatsTableModel.setMatrixObs(MatrixObservations m)

Constructors in jwat.workloadAnalysis.tables with parameters of type MatrixObservations

Modifier	Constructor	Description
	JWatBivariateStatsTableModel(MatrixObservations m)
	JWatUnivariateStatsTableModel(MatrixObservations model)

Uses of MatrixObservations in jwat.workloadAnalysis.utils

Methods in jwat.workloadAnalysis.utils that return MatrixObservations

Modifier and Type	Method	Description
MatrixObservations	ModelWorkloadAnalysis.getMatrix()

Methods in jwat.workloadAnalysis.utils with parameters of type MatrixObservations

Modifier and Type	Method	Description
void	ModelWorkloadAnalysis.setMatrix(MatrixObservations matrix)