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 The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)

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	KMeansBatchedLloyd.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansElkan.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansHamerly.Parameterizer<V extends NumberVector> Parameterization class.
static class	KMeansHybridLloydMacQueen.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	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.