Uses of Class
elki.data.model.KMeansModel

Packages that use KMeansModel

Package	Description
elki.clustering.hierarchical.birch	BIRCH clustering.
elki.clustering.kmeans	K-means clustering and variations.
elki.clustering.kmeans.parallel	Parallelized implementations of k-means.
elki.clustering.kmeans.spherical	Spherical k-means clustering and variations.
elki.clustering.uncertain	Clustering algorithms for uncertain data.

Uses of KMeansModel in elki.clustering.hierarchical.birch

Methods in elki.clustering.hierarchical.birch that return types with arguments of type KMeansModel

Modifier and Type	Method	Description
Clustering<KMeansModel>	BIRCHLloydKMeans.run(Relation<NumberVector> relation)	Run the clustering algorithm.

Uses of KMeansModel in elki.clustering.kmeans

Methods in elki.clustering.kmeans that return types with arguments of type KMeansModel

Modifier and Type	Method	Description
Clustering<KMeansModel>	AbstractKMeans.Instance.buildResult()	Build a standard k-means result, with known cluster variance sums.
Clustering<KMeansModel>	AbstractKMeans.Instance.buildResult(boolean varstat, Relation<? extends NumberVector> relation)	Build the result, recomputing the cluster variance if varstat is set to true.
protected Clustering<KMeansModel>	KMeansMinusMinus.Instance.buildResultWithNoise()
Clustering<KMeansModel>	AnnulusKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	BetulaLloydKMeans.run(Relation<NumberVector> relation)	Run the clustering algorithm.
Clustering<KMeansModel>	CompareMeans.run(Relation<V> relation)
Clustering<KMeansModel>	ElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	ExponionKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	HamerlyKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	HartiganWongKMeans.run(Relation<V> rel)
Clustering<KMeansModel>	KDTreeFilteringKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	KDTreePruningKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	KMeansMinusMinus.run(Relation<V> relation)
Clustering<KMeansModel>	LloydKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	MacQueenKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	ShallotKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SimplifiedElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SingleAssignmentKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SortMeans.run(Relation<V> relation)
Clustering<KMeansModel>	YinYangKMeans.run(Relation<V> rel)

Uses of KMeansModel in elki.clustering.kmeans.parallel

Methods in elki.clustering.kmeans.parallel that return types with arguments of type KMeansModel

Modifier and Type	Method	Description
Clustering<KMeansModel>	ParallelLloydKMeans.run(Relation<V> relation)

Uses of KMeansModel in elki.clustering.kmeans.spherical

Methods in elki.clustering.kmeans.spherical that return types with arguments of type KMeansModel

Modifier and Type	Method	Description
Clustering<KMeansModel>	EuclideanSphericalElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	EuclideanSphericalHamerlyKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	EuclideanSphericalSimplifiedElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalHamerlyKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalSimplifiedElkanKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalSimplifiedHamerlyKMeans.run(Relation<V> relation)
Clustering<KMeansModel>	SphericalSingleAssignmentKMeans.run(Relation<V> relation)

Uses of KMeansModel in elki.clustering.uncertain

Fields in elki.clustering.uncertain with type parameters of type KMeansModel

Modifier and Type	Field	Description
private KMeans<?,KMeansModel>	CKMeans.Par.kmeans	K-means instance to use.

Methods in elki.clustering.uncertain that return types with arguments of type KMeansModel

Modifier and Type	Method	Description
Clustering<KMeansModel>	UKMeans.run(Relation<DiscreteUncertainObject> relation)	Run the clustering.

Constructor parameters in elki.clustering.uncertain with type arguments of type KMeansModel

Constructor	Description
CKMeans(KMeans<?,KMeansModel> kmeans)	Constructor that uses an arbitrary k-means algorithm.