ERiC.Settings (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.clustering.correlation.ERiC.Settings

Enclosing class:

ERiC
```
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	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.
`elki.math.linearalgebra.pca.filter.EigenPairFilter`	`filter`	Filter for Eigenvectors.
`int`	`k`	Neighborhood size.
`int`	`minpts`	Minimum neighborhood size (density).
`elki.math.linearalgebra.pca.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 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 elki.math.linearalgebra.pca.PCARunner pca
```
    Class to compute PCA.
  - filter
```
public elki.math.linearalgebra.pca.filter.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()
```