de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Class HilOut.Parameterizer<O extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer<O>

Type Parameters:

O - Vector type

All Implemented Interfaces:

Parameterizer

Enclosing class:

HilOut<O extends NumberVector>

public static class HilOut.Parameterizer<O extends NumberVector>
extends AbstractParameterizer

Parameterization class

Author:

Jonathan von Brünken

Field Summary

Fields

Modifier and Type	Field and Description
protected LPNormDistanceFunction	distfunc LPNorm distance function
protected int	h Hilbert curve precision
static OptionID	H_ID Parameter to specify the maximum Hilbert-Level
protected int	k Neighborhood size
static OptionID	K_ID Parameter to specify how many next neighbors should be used in the computation
protected int	n Top-n candidates to compute exactly
static OptionID	N_ID Parameter to specify how many outliers should be computed
static OptionID	T_ID Parameter to specify p of LP-NormDistance
protected Enum<HilOut.ScoreType>	tn Scores to report: all or top-n only
static OptionID	TN_ID Parameter to specify if only the Top n, or also approximations for the other elements, should be returned

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected HilOut<O>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

K_ID

public static final OptionID K_ID

Parameter to specify how many next neighbors should be used in the computation

N_ID

public static final OptionID N_ID

Parameter to specify how many outliers should be computed

H_ID

public static final OptionID H_ID

Parameter to specify the maximum Hilbert-Level

T_ID

public static final OptionID T_ID

Parameter to specify p of LP-NormDistance

TN_ID

public static final OptionID TN_ID

Parameter to specify if only the Top n, or also approximations for the other elements, should be returned

k

protected int k

Neighborhood size

n

protected int n

Top-n candidates to compute exactly

h

protected int h

Hilbert curve precision

distfunc

protected LPNormDistanceFunction distfunc

LPNorm distance function

tn

protected Enum<HilOut.ScoreType> tn

Scores to report: all or top-n only

Constructor Detail

Parameterizer

public Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected HilOut<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance