de.lmu.ifi.dbs.elki.algorithm.statistics

Class DistanceQuantileSampler.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.statistics.DistanceQuantileSampler.Parameterizer<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Parameterizer

Enclosing class:

DistanceQuantileSampler<O>

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

Parameterization class

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private boolean	nozeros Flag to ignore zero distances (recommended with many duplicates).
static OptionID	NOZEROS_ID Flag to ignore zero distances (recommended with many duplicates).
private double	quantile Quantile to compute.
static OptionID	QUANTILE_ID Quantile to compute.
private RandomFactory	rand Random generator.
private double	sampling Sampling rate.
static OptionID	SAMPLING_ID Sampling rate.
static OptionID	SEED_ID Random generator seed.

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 DistanceQuantileSampler<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

QUANTILE_ID

public static final OptionID QUANTILE_ID

Quantile to compute.

SAMPLING_ID

public static final OptionID SAMPLING_ID

Sampling rate.

NOZEROS_ID

public static final OptionID NOZEROS_ID

Flag to ignore zero distances (recommended with many duplicates).

SEED_ID

public static final OptionID SEED_ID

Random generator seed.

quantile

private double quantile

Quantile to compute.

sampling

private double sampling

Sampling rate.

nozeros

private boolean nozeros

Flag to ignore zero distances (recommended with many duplicates).

rand

private RandomFactory rand

Random generator.

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 DistanceQuantileSampler<O> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance