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

Class CanopyPreClustering.Parameterizer<O,D extends Distance<D>>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer<O,D>

Type Parameters:

O - Object type

D - Distance type

All Implemented Interfaces:

Parameterizer

Enclosing class:

CanopyPreClustering<O,D extends Distance<D>>

public static class CanopyPreClustering.Parameterizer<O,D extends Distance<D>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<O,D>

Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
private D	t1 Threshold for inclusion
static OptionID	T1_ID Parameter for the inclusion threshold of canopy clustering.
private D	t2 Threshold for removal
static OptionID	T2_ID Parameter for the removal threshold of canopy clustering.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
CanopyPreClustering.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected CanopyPreClustering<O,D>	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

T1_ID

public static final OptionID T1_ID

Parameter for the inclusion threshold of canopy clustering. Note: t1 > t2 Syntax:

 -canopy.t1 <value>
 

T2_ID

public static final OptionID T2_ID

Parameter for the removal threshold of canopy clustering. Note: t1 > t2 Syntax:

 -canopy.t2 <value>
 

t1

private D extends Distance<D> t1

Threshold for inclusion

t2

private D extends Distance<D> t2

Threshold for removal

Constructor Detail

CanopyPreClustering.Parameterizer

public CanopyPreClustering.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,D extends Distance<D>>

Parameters:

config - Parameterization to add options to.

makeInstance

protected CanopyPreClustering<O,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance