Uses of Class
de.lmu.ifi.dbs.elki.data.model.KMeansModel

Packages that use KMeansModel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel	Parallelized implementations of k-means.
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain	Clustering algorithms for uncertain data.

Uses of KMeansModel in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans that return types with arguments of type KMeansModel

Modifier and Type	Method and Description
protected Clustering<KMeansModel>	AbstractKMeans.Instance.buildResult() Build a standard k-means result, with known cluster variance sums.
protected 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>	SingleAssignmentKMeans.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansSort.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansAnnulus.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansExponion.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansLloyd.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansElkan.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansHamerly.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansMacQueen.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansMinusMinus.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansSimplifiedElkan.run(Database database, Relation<V> relation)
Clustering<KMeansModel>	KMeansCompare.run(Database database, Relation<V> relation)

Uses of KMeansModel in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel that return types with arguments of type KMeansModel

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

Uses of KMeansModel in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain with type parameters of type KMeansModel

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

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain with type arguments of type KMeansModel

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