Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.LPNormDistanceFunction

Packages that use LPNormDistanceFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.

Uses of LPNormDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.outlier

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as LPNormDistanceFunction

Modifier and Type	Field and Description
protected LPNormDistanceFunction	HilOut.Parameterizer.distfunc LPNorm distance function

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type LPNormDistanceFunction

Constructor and Description
HilOut(LPNormDistanceFunction distfunc, int k, int n, int h, Enum<HilOut.ScoreType> tn) Constructor.

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

Subclasses of LPNormDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

Modifier and Type	Class and Description
class	EuclideanDistanceFunction Provides the Euclidean distance 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	WeightedLPNormDistanceFunction Weighted version of the Euclidean distance function.

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction that return LPNormDistanceFunction

Modifier and Type	Method and Description
protected LPNormDistanceFunction	LPNormDistanceFunction.Parameterizer.makeInstance()