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

Class KDEOS.Parameterizer<O>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<O>

de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

KDEOS<O>

public static class KDEOS.Parameterizer<O>
extends AbstractDistanceBasedAlgorithm.Parameterizer<O>

Parameterization class

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	idim Intrinsic dimensionality.
private static OptionID	IDIM_ID Intrinsic dimensionality.
(package private) KernelDensityFunction	kernel Kernel function to use for density estimation.
private static OptionID	KERNEL_ID Parameter to specify the kernel density function.
private static OptionID	KERNEL_MIN_ID Parameter to specify the minimum bandwidth.
private static OptionID	KERNEL_SCALE_ID Parameter to specify the kernel scaling factor.
(package private) int	kmax Minimum and maximum number of neighbors to use.
private static OptionID	KMAX_ID Maximum value of k to analyze.
(package private) int	kmin Minimum and maximum number of neighbors to use.
private static OptionID	KMIN_ID Minimum value of k to analyze.
(package private) double	minBandwidth Kernel minimum bandwidth.
(package private) double	scale Kernel scaling parameter.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected KDEOS<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

KERNEL_ID

private static final OptionID KERNEL_ID

Parameter to specify the kernel density function.

KERNEL_MIN_ID

private static final OptionID KERNEL_MIN_ID

Parameter to specify the minimum bandwidth.

KERNEL_SCALE_ID

private static final OptionID KERNEL_SCALE_ID

Parameter to specify the kernel scaling factor.

KMIN_ID

private static final OptionID KMIN_ID

Minimum value of k to analyze.

KMAX_ID

private static final OptionID KMAX_ID

Maximum value of k to analyze.

IDIM_ID

private static final OptionID IDIM_ID

Intrinsic dimensionality.

kernel

KernelDensityFunction kernel

Kernel function to use for density estimation.

kmin

int kmin

Minimum and maximum number of neighbors to use.

kmax

int kmax

Minimum and maximum number of neighbors to use.

scale

double scale

Kernel scaling parameter.

minBandwidth

double minBandwidth

Kernel minimum bandwidth.

idim

int idim

Intrinsic dimensionality.

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 AbstractDistanceBasedAlgorithm.Parameterizer<O>

Parameters:

config - Parameterization to add options to.

makeInstance

protected KDEOS<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance