Uses of Interface
de.lmu.ifi.dbs.elki.distance.distancefunction.DoubleNorm

Packages that use DoubleNorm

Package	Description
de.lmu.ifi.dbs.elki.datasource.filter.normalization	Data normalization.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.

Uses of DoubleNorm in de.lmu.ifi.dbs.elki.datasource.filter.normalization

Fields in de.lmu.ifi.dbs.elki.datasource.filter.normalization declared as DoubleNorm

Modifier and Type	Field and Description
(package private) DoubleNorm<? super V>	LengthNormalization.norm Norm to use.
(package private) DoubleNorm<? super V>	LengthNormalization.Parameterizer.norm Norm to use.

Constructors in de.lmu.ifi.dbs.elki.datasource.filter.normalization with parameters of type DoubleNorm

Constructor and Description
LengthNormalization(DoubleNorm<? super V> norm) Constructor.

Uses of DoubleNorm in de.lmu.ifi.dbs.elki.distance.distancefunction

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement DoubleNorm

Modifier and Type	Class and Description
class	AbstractVectorDoubleDistanceNorm Abstract base class for double-valued number-vector-based distances based on norms.
class	EuclideanDistanceFunction Provides the Euclidean distance for FeatureVectors.
class	LPNormDistanceFunction Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
class	MaximumDistanceFunction Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
class	MinimumDistanceFunction Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
class	SparseEuclideanDistanceFunction Euclidean distance function.
class	SparseLPNormDistanceFunction Provides a LP-Norm for FeatureVectors.
class	SparseManhattanDistanceFunction Manhattan distance function.
class	SparseMaximumDistanceFunction Maximum distance function.
class	SquaredEuclideanDistanceFunction Provides the squared Euclidean distance for FeatureVectors.
class	WeightedLPNormDistanceFunction Weighted version of the Euclidean distance function.

Uses of DoubleNorm in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement DoubleNorm

Modifier and Type	Class and Description
class	SubspaceEuclideanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceLPNormDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceManhattanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.