Uses of Interface
jwat.workloadAnalysis.clustering.Clustering

Packages that use Clustering

Package	Description
jwat.workloadAnalysis	Workload analysis model of JWAT: the observations, variables and parameters of the workload characterization process.
jwat.workloadAnalysis.clustering	Clustering algorithms of JWAT for identifying similarities in the input 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.kMean	K-means clustering algorithm of JWAT.

Uses of Clustering in jwat.workloadAnalysis

Methods in jwat.workloadAnalysis that return types with arguments of type Clustering

Modifier and Type	Method	Description
Vector<Clustering>	WorkloadAnalysisSession.getListOfClustering()

Methods in jwat.workloadAnalysis with parameters of type Clustering

Modifier and Type	Method	Description
void	WorkloadAnalysisSession.addClustering(Clustering clust)

Uses of Clustering in jwat.workloadAnalysis.clustering

Methods in jwat.workloadAnalysis.clustering that return Clustering

Modifier and Type	Method	Description
Clustering	EventClusteringDone.getClustering()

Constructors in jwat.workloadAnalysis.clustering with parameters of type Clustering

Modifier	Constructor	Description
	EventClusteringDone(Clustering c)

Uses of Clustering in jwat.workloadAnalysis.clustering.fuzzyKMean

Classes in jwat.workloadAnalysis.clustering.fuzzyKMean that implement Clustering

Modifier and Type	Class	Description
class	FuzzyKMean	Fuzzy k-means clustering algorithm of JWAT: each observation belongs to the clusters with given membership degrees.

Uses of Clustering in jwat.workloadAnalysis.clustering.kMean

Classes in jwat.workloadAnalysis.clustering.kMean that implement Clustering

Modifier and Type	Class	Description
class	KMean	K-means clustering algorithm of JWAT: partitions the observations into k clusters around their centroids.