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.

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(elki.database.relation.Relation<elki.data.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, elki.database.relation.Relation<? extends elki.data.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(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	BetulaLloydKMeans.run(elki.database.relation.Relation<elki.data.NumberVector> relation)	Run the clustering algorithm.
Clustering<KMeansModel>	CompareMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	ElkanKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	ExponionKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	HamerlyKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	HartiganWongKMeans.run(elki.database.relation.Relation<V> rel)
Clustering<KMeansModel>	KDTreeFilteringKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	KDTreePruningKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	KMeansMinusMinus.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	LloydKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	MacQueenKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	ShallotKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SimplifiedElkanKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SingleAssignmentKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SortMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	YinYangKMeans.run(elki.database.relation.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(elki.database.relation.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(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	EuclideanSphericalHamerlyKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	EuclideanSphericalSimplifiedElkanKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalElkanKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalHamerlyKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalSimplifiedElkanKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalSimplifiedHamerlyKMeans.run(elki.database.relation.Relation<V> relation)
Clustering<KMeansModel>	SphericalSingleAssignmentKMeans.run(elki.database.relation.Relation<V> relation)