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

Class ERiC.Settings.Parameterizer

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings.Parameterizer

All Implemented Interfaces:

Parameterizer

Enclosing class:

ERiC.Settings

public static class ERiC.Settings.Parameterizer
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	DELTA_ID Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
static OptionID	K_ID Size for the kNN neighborhood used in the PCA step of ERiC.
(package private) ERiC.Settings	settings Settings to build.
static OptionID	TAU_ID Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

Constructor Summary

Constructors

Constructor and Description
ERiC.Settings.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	configDelta(Parameterization config) Configure the delta parameter.
protected void	configK(Parameterization config) Configure the kNN parameter.
protected void	configMinPts(Parameterization config) Configure the minPts aka "mu" parameter.
protected void	configTau(Parameterization config) Configure the tau parameter.
ERiC.Settings	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

K_ID

public static final OptionID K_ID

Size for the kNN neighborhood used in the PCA step of ERiC.

DELTA_ID

public static final OptionID DELTA_ID

Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.

Default value: 0.1

Key: -ericdf.delta

TAU_ID

public static final OptionID TAU_ID

Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

Default value: 0.1

Key: -ericdf.tau

settings

ERiC.Settings settings

Settings to build.

Constructor Detail

ERiC.Settings.Parameterizer

public ERiC.Settings.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.

configK

protected void configK(Parameterization config)

Configure the kNN parameter.

Parameters:

config - Parameter source

configDelta

protected void configDelta(Parameterization config)

Configure the delta parameter.

Parameters:

config - Parameter source

configTau

protected void configTau(Parameterization config)

Configure the tau parameter.

Parameters:

config - Parameter source

configMinPts

protected void configMinPts(Parameterization config)

Configure the minPts aka "mu" parameter.

Parameters:

config - Parameter source

makeInstance

public ERiC.Settings makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance