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

Class PreDeCon.Settings

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings

Enclosing class:

PreDeCon<V extends NumberVector>

public static class PreDeCon.Settings
extends java.lang.Object

Class containing all the PreDeCon settings.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PreDeCon.Settings.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
double	delta The threshold for small eigenvalues.
double	epsilon Query radius parameter epsilon.
double	kappa The kappa penality factor for deviations in preferred dimensions.
int	lambda Lambda: Maximum subspace dimensionality.
int	minpts DBSCAN Minpts parameter, aka "mu".

Constructor Summary

Constructors

Constructor and Description
Settings()

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

epsilon

public double epsilon

Query radius parameter epsilon.

delta

public double delta

The threshold for small eigenvalues.

kappa

public double kappa

The kappa penality factor for deviations in preferred dimensions.

minpts

public int minpts

DBSCAN Minpts parameter, aka "mu".

lambda

public int lambda

Lambda: Maximum subspace dimensionality.

Constructor Detail

Settings

public Settings()