Uses of Class
de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

Packages that use AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.

Uses of AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm

Subclasses of AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm

Modifier and Type	Class and Description
static class	DependencyDerivator.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KNNJoin.Parameterizer<V extends NumberVector<?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> Parameterization class.

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

Subclasses of AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Modifier and Type	Class and Description
static class	AbstractKMeans.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMeansBatchedLloyd.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMeansHybridLloydMacQueen.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMeansLloyd.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMeansMacQueen.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMediansLloyd.Parameterizer<V extends NumberVector<?>,D extends Distance<D>> Parameterization class.
static class	KMedoidsEM.Parameterizer<V,D extends NumberDistance<D,?>> Parameterization class.
static class	KMedoidsPAM.Parameterizer<V,D extends NumberDistance<D,?>> Parameterization class.