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

Packages that use AbstractNumberVectorDistanceBasedAlgorithm.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
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel	Parallelized implementations of k-means.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms.

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

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

Modifier and Type	Class and Description
static class	DependencyDerivator.Parameterizer<V extends NumberVector> Parameterization class.

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

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

Modifier and Type	Class and Description
static class	AbstractKMeans.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansAnnulus.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansCompare.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansElkan.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansExponion.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansHamerly.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansLloyd.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansMacQueen.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansMinusMinus.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansSimplifiedElkan.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansSort.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMediansLloyd.Parameterizer<V extends NumberVector> Parameterization class.
static class	SingleAssignmentKMeans.Parameterizer<V extends NumberVector> Parameterization class.
static class	XMeans.Parameterizer<V extends NumberVector,M extends MeanModel> Parameterization class.

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

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

Modifier and Type	Class and Description
static class	ParallelLloydKMeans.Parameterizer<V extends NumberVector> Parameterization class

Uses of AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Subclasses of AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Modifier and Type	Class and Description
static class	ReferenceBasedOutlierDetection.Parameterizer Parameterization class.

Uses of AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm.statistics

Subclasses of AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer in de.lmu.ifi.dbs.elki.algorithm.statistics

Modifier and Type	Class and Description
static class	HopkinsStatisticClusteringTendency.Parameterizer Parameterization class.