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

Class ERiC.Settings

java.lang.Object

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

Enclosing class:

ERiC<V extends NumberVector>

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

Class to wrap the ERiC settings.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
double	delta 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.
EigenPairFilter	filter Filter for Eigenvectors.
int	k Neighborhood size.
int	minpts Minimum neighborhood size (density).
PCARunner	pca Class to compute PCA.
double	tau 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
Settings()

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

k

public int k

Neighborhood size.

pca

public PCARunner pca

Class to compute PCA.

filter

public EigenPairFilter filter

Filter for Eigenvectors.

delta

public double delta

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.

tau

public double tau

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.

minpts

public int minpts

Minimum neighborhood size (density).

Constructor Detail

Settings

public Settings()