de.lmu.ifi.dbs.elki.algorithm

Class KNNDistancesSampler.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.KNNDistancesSampler.Parameterizer<O>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KNNDistancesSampler<O>

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

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k Parameter k.
static OptionID	K_ID Parameter to specify the distance of the k-distant object to be assessed, must be an integer greater than 0.
protected double	percentage Sampling percentage.
private RandomFactory	rnd Random number seeding.
static OptionID	SAMPLING_ID Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.
static OptionID	SEED_ID Random generator seed for distances.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
KNNDistancesSampler.Parameterizer() Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected KNNDistancesSampler<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 the distance of the k-distant object to be assessed, must be an integer greater than 0.

SAMPLING_ID

public static final OptionID SAMPLING_ID

Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.

SEED_ID

public static final OptionID SEED_ID

Random generator seed for distances.

k

protected int k

Parameter k.

percentage

protected double percentage

Sampling percentage.

rnd

private RandomFactory rnd

Random number seeding.

Constructor Detail

KNNDistancesSampler.Parameterizer

public KNNDistancesSampler.Parameterizer()

Constructor.

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 KNNDistancesSampler<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance