Norm (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

Type Parameters:

O - Object type

All Superinterfaces:

Distance<O>, PrimitiveDistance<O>

All Known Implementing Classes:

EuclideanDistance, HSBHistogramQuadraticDistance, LPIntegerNormDistance, LPNormDistance, MahalanobisDistance, ManhattanDistance, MatrixWeightedQuadraticDistance, MaximumDistance, MinimumDistance, OnedimensionalDistance, RGBHistogramQuadraticDistance, SparseEuclideanDistance, SparseLPNormDistance, SparseManhattanDistance, SparseMaximumDistance, SparseSquaredEuclideanDistance, SquaredEuclideanDistance, SubspaceEuclideanDistance, SubspaceLPNormDistance, SubspaceManhattanDistance, SubspaceMaximumDistance, WeightedEuclideanDistance, WeightedLPNormDistance, WeightedManhattanDistance, WeightedMaximumDistance, WeightedSquaredEuclideanDistance
```
public interface Norm<O>
extends PrimitiveDistance<O>
```
Abstract interface for a mathematical norm.

Since:

0.5.0

Author:

Erich Schubert

- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  double norm(O obj)
  Compute the norm of object obj.
  - Methods inherited from interface elki.distance.Distance
    isMetric, isSquared, isSymmetric
  - Methods inherited from interface elki.distance.PrimitiveDistance
    distance, getInputTypeRestriction, instantiate

- Method Detail
  - norm
```
double norm(O obj)
```
    Compute the norm of object obj.
    
    Parameters:
    
    obj - Object
    
    Returns:
    
    Norm