de.lmu.ifi.dbs.elki.distance.distancefunction

Interface Norm<O,D extends Distance<D>>

Type Parameters:

O - Object type

D - Distance type

All Superinterfaces:

DistanceFunction<O,D>, Parameterizable

All Known Subinterfaces:

DoubleNorm<O>

All Known Implementing Classes:

AbstractSpatialDoubleDistanceNorm, AbstractVectorDoubleDistanceNorm, DimensionSelectingDistanceFunction, EuclideanDistanceFunction, LorentzianDistanceFunction, LPIntegerNormDistanceFunction, LPNormDistanceFunction, ManhattanDistanceFunction, MaximumDistanceFunction, MinimumDistanceFunction, SparseEuclideanDistanceFunction, SparseLPNormDistanceFunction, SparseManhattanDistanceFunction, SparseMaximumDistanceFunction, SquaredEuclideanDistanceFunction, SubspaceEuclideanDistanceFunction, SubspaceLPNormDistanceFunction, SubspaceManhattanDistanceFunction, SubspaceMaximumDistanceFunction, WeightedEuclideanDistanceFunction, WeightedLPNormDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction, WeightedSquaredEuclideanDistanceFunction

public interface Norm<O,D extends Distance<D>>
extends DistanceFunction<O,D>

Abstract interface for a mathematical norm.

Method Summary

Methods

Modifier and Type	Method and Description
D	norm(O obj) Compute the norm of object obj.

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

getDistanceFactory, getInputTypeRestriction, instantiate, isMetric, isSymmetric

Method Detail

norm

D norm(O obj)

Compute the norm of object obj.

Parameters:

obj - Object

Returns:

Norm