de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain

Class FDBSCANNeighborPredicate.Parameterizer

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

All Implemented Interfaces:

Parameterizer

Enclosing class:

FDBSCANNeighborPredicate

public static class FDBSCANNeighborPredicate.Parameterizer
extends AbstractParameterizer

Parameterizer class.

Author:

Alexander Koos, Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected double	epsilon Epsilon radius
static OptionID	SAMPLE_SIZE_ID Number of samples per uncertain object.
protected int	sampleSize The size of samplesets that should be drawn for neighborcheck.
protected RandomFactory	seed Random generator.
static OptionID	SEED_ID Seed for random sample draw.
protected double	threshold The relative amount of epsilon-close pairings determined by the neighborcheck.
static OptionID	THRESHOLD_ID Threshold for epsilon-neighborhood, defaults to 0.5.

Constructor Summary

Constructors

Constructor and Description
FDBSCANNeighborPredicate.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected FDBSCANNeighborPredicate	makeInstance() Make an instance after successful configuration.
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

SAMPLE_SIZE_ID

public static final OptionID SAMPLE_SIZE_ID

Number of samples per uncertain object.

THRESHOLD_ID

public static final OptionID THRESHOLD_ID

Threshold for epsilon-neighborhood, defaults to 0.5.

SEED_ID

public static final OptionID SEED_ID

Seed for random sample draw.

epsilon

protected double epsilon

Epsilon radius

sampleSize

protected int sampleSize

The size of samplesets that should be drawn for neighborcheck.

threshold

protected double threshold

The relative amount of epsilon-close pairings determined by the neighborcheck.

seed

protected RandomFactory seed

Random generator.

Constructor Detail

FDBSCANNeighborPredicate.Parameterizer

public FDBSCANNeighborPredicate.Parameterizer()

Method Detail

makeOptions

public 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 FDBSCANNeighborPredicate makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance