Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

de.lmu.ifi.dbs.elki.varianceanalysis
Class PercentageEigenPairFilter

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      extended by de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          extended by de.lmu.ifi.dbs.elki.varianceanalysis.PercentageEigenPairFilter
All Implemented Interfaces:
Loggable, Parameterizable, EigenPairFilter

public class PercentageEigenPairFilter
extends AbstractParameterizable
implements EigenPairFilter

The PercentageEigenPairFilter sorts the eigenpairs in decending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.

Author:
Elke Achtert

Field Summary
private  double alpha
          The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
static String ALPHA_D
          Description for parameter alpha.
static String ALPHA_P
          Option string for parameter alpha.
static double DEFAULT_ALPHA
          The default value for alpha.
 
Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
optionHandler
 
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debug
 
Constructor Summary
PercentageEigenPairFilter()
          Provides a new EigenPairFilter that sorts the eigenpairs in decending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as string eigenpairs.
 
Method Summary
 String description()
          Returns a description of the class and the required parameters.
 FilteredEigenPairs filter(SortedEigenPairs eigenPairs)
          Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.
 String[] setParameters(String[] args)
          Sets the attributes of the class accordingly to the given parameters.
 
Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
addOption, checkGlobalParameterConstraints, deleteOption, description, description, getAttributeSettings, getParameters, getParameterValue, getPossibleOptions, inlineDescription, isSet, setParameters
 
Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debugFine, debugFiner, debugFinest, exception, message, progress, progress, progress, verbose, verbose, warning
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 
Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable
checkGlobalParameterConstraints, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription
 

Field Detail

DEFAULT_ALPHA

public static final double DEFAULT_ALPHA
The default value for alpha.

See Also:
Constant Field Values

ALPHA_P

public static final String ALPHA_P
Option string for parameter alpha.

See Also:
Constant Field Values

ALPHA_D

public static final String ALPHA_D
Description for parameter alpha.

See Also:
Constant Field Values

alpha

private double alpha
The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.

Constructor Detail

PercentageEigenPairFilter

public PercentageEigenPairFilter()
Provides a new EigenPairFilter that sorts the eigenpairs in decending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as string eigenpairs.

Method Detail

filter

public FilteredEigenPairs filter(SortedEigenPairs eigenPairs)
Description copied from interface: EigenPairFilter
Filters the specified eigenpairs into strong and weak eigenpairs, where strong eigenpairs having high variances and weak eigenpairs having small variances.

Specified by:
filter in interface EigenPairFilter
Parameters:
eigenPairs - the eigenPairs (i.e. the eigenvectors and
Returns:
the filtered eigenpairs
See Also:
EigenPairFilter.filter(de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs)

description

public String description()
Description copied from interface: Parameterizable
Returns a description of the class and the required parameters.

This description should be suitable for a usage description as for a standalone application.

Specified by:
description in interface Parameterizable
Overrides:
description in class AbstractParameterizable
Returns:
String a description of the class and the required parameters
See Also:
Parameterizable.description()

setParameters

public String[] setParameters(String[] args)
                       throws ParameterException
Description copied from interface: Parameterizable
Sets the attributes of the class accordingly to the given parameters. Returns a new String array containing those entries of the given array that are neither expected nor used by this Parameterizable.

Specified by:
setParameters in interface Parameterizable
Overrides:
setParameters in class AbstractParameterizable
Parameters:
args - parameters to set the attributes accordingly to
Returns:
String[] an array containing the unused parameters
Throws:
ParameterException - in case of wrong parameter-setting
See Also:
Parameterizable.setParameters(String[])

Release 0.1 (2008-07-10_1838)