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

Interface Norm<O>

Type Parameters:

O - Object type

All Superinterfaces:

DistanceFunction<O>, PrimitiveDistanceFunction<O>

All Known Implementing Classes:

EuclideanDistanceFunction, HSBHistogramQuadraticDistanceFunction, LPIntegerNormDistanceFunction, LPNormDistanceFunction, MahalanobisDistanceFunction, ManhattanDistanceFunction, MatrixWeightedQuadraticDistanceFunction, MaximumDistanceFunction, MinimumDistanceFunction, OnedimensionalDistanceFunction, RGBHistogramQuadraticDistanceFunction, SparseEuclideanDistanceFunction, SparseLPNormDistanceFunction, SparseManhattanDistanceFunction, SparseMaximumDistanceFunction, SparseSquaredEuclideanDistanceFunction, SquaredEuclideanDistanceFunction, SubspaceEuclideanDistanceFunction, SubspaceLPNormDistanceFunction, SubspaceManhattanDistanceFunction, SubspaceMaximumDistanceFunction, WeightedEuclideanDistanceFunction, WeightedLPNormDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction, WeightedSquaredEuclideanDistanceFunction

public interface Norm<O>
extends PrimitiveDistanceFunction<O>

Abstract interface for a mathematical norm.

Since:

0.5.0

Author:

Erich Schubert

Method Summary

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

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

distance, getInputTypeRestriction, instantiate

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

isMetric, isSquared, isSymmetric

Method Detail

norm

double norm(O obj)

Compute the norm of object obj.

Parameters:

obj - Object

Returns:

Norm