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

java.lang.Object
- elki.distance.AbstractNumberVectorDistance
- - tutorial.distancefunction.MultiLPNorm

All Implemented Interfaces:

Distance<NumberVector>, NumberVectorDistance<NumberVector>, PrimitiveDistance<NumberVector>
```
public class MultiLPNorm
extends AbstractNumberVectorDistance
```
Tutorial example Minowski-distance variation with different exponents for different dimensions for ELKI.
See Distance function tutorial

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class MultiLPNorm.Par
Parameterization class example

Field Summary

Fields
Modifier and Type Field Description

(package private) double pinv
Normalization factor (count(ps)/sum(ps))

(package private) double[] ps
The exponents

Constructor Summary

Constructors
Constructor Description

MultiLPNorm(double[] ps)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`distance(NumberVector o1, NumberVector o2)`	Computes the distance between two given vectors according to this distance function.
`SimpleTypeInformation<? super NumberVector>`	`getInputTypeRestriction()`	Get the input data type of the function.

Methods inherited from class elki.distance.AbstractNumberVectorDistance
dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality, dimensionality

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface elki.distance.Distance
isMetric, isSquared, isSymmetric

Methods inherited from interface elki.distance.PrimitiveDistance
instantiate

- Field Detail
  - ps
```
double[] ps
```
    The exponents
  - pinv
```
double pinv
```
    Normalization factor (count(ps)/sum(ps))
- Constructor Detail
  - MultiLPNorm
```
public MultiLPNorm(double[] ps)
```
    Constructor.
    
    Parameters:
    
    ps - The exponents
- Method Detail
  - distance
```
public double distance(NumberVector o1,
                       NumberVector o2)
```
    Description copied from interface: NumberVectorDistance
    
    Computes the distance between two given vectors according to this distance function.
    
    Parameters:
    
    o1 - first vector
    
    o2 - second vector
    
    Returns:
    
    the distance between two given vectors according to this distance function
  - getInputTypeRestriction
```
public SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()
```
    Description copied from interface: Distance
    
    Get the input data type of the function.
    
    Specified by:
    
    getInputTypeRestriction in interface Distance<NumberVector>
    
    Specified by:
    
    getInputTypeRestriction in interface PrimitiveDistance<NumberVector>
    
    Overrides:
    
    getInputTypeRestriction in class AbstractNumberVectorDistance
    
    Returns:
    
    Type restriction