de.lmu.ifi.dbs.elki.preprocessing
Class KernelFourCPreprocessor<D extends Distance<D>,V extends RealVector<V,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor<D,V>
              de.lmu.ifi.dbs.elki.preprocessing.KernelFourCPreprocessor<D,V>

All Implemented Interfaces:

Loggable, Preprocessor<V>, Parameterizable

public class KernelFourCPreprocessor<D extends Distance<D>,V extends RealVector<V,?>>
extends ProjectedDBSCANPreprocessor<D,V>

Preprocessor for kernel 4C local dimensionality, neighbor objects and strong eigenvector matrix assignment to objects of a certain database.

Author:

Simon Paradies

Field Summary

private boolean	absolute Indicates wether delta is an absolute or a relative value.
static String	ABSOLUTE_D Description for flag abs.
static String	ABSOLUTE_F Flag for marking parameter delta as an absolute value.
static double	DEFAULT_DELTA The default value for delta.
static String	DEFAULT_KERNEL_FUNCTION_CLASS The default kernel function class name.
private double	delta Threshold for strong eigenpairs, can be absolute or relative.
static String	DELTA_D Description for parameter delta.
static String	DELTA_P Option string for parameter delta.
static String	KERNEL_FUNCTION_CLASS_D Description for parameter preprocessor.
static String	KERNEL_FUNCTION_CLASS_P Parameter for preprocessor.
private String[]	pcaParameters The parameter settings for the PCA.

Fields inherited from class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

DEFAULT_DISTANCE_FUNCTION, DISTANCE_FUNCTION_D, DISTANCE_FUNCTION_P, EPSILON_PARAM, rangeQueryDistanceFunction

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

KernelFourCPreprocessor()

Method Summary

String	description() Returns a description of the class and the required parameters.
protected void	runVarianceAnalysis(Integer id, List<QueryResult<D>> neighbors, Database<V> database) This method implements the type of variance analysis to be computed for a given point.
String[]	setParameters(String[] args) Sets the values for the parameters alpha, pca and pcaDistancefunction if specified.

Methods inherited from class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

getAttributeSettings, run

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

addOption, checkGlobalParameterConstraints, deleteOption, description, description, 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, getParameters, getPossibleOptions, inlineDescription

Field Detail

DEFAULT_KERNEL_FUNCTION_CLASS

public static final String DEFAULT_KERNEL_FUNCTION_CLASS

The default kernel function class name.

KERNEL_FUNCTION_CLASS_P

public static final String KERNEL_FUNCTION_CLASS_P

Parameter for preprocessor.

See Also:

Constant Field Values

KERNEL_FUNCTION_CLASS_D

public static final String KERNEL_FUNCTION_CLASS_D

Description for parameter preprocessor.

ABSOLUTE_F

public static final String ABSOLUTE_F

Flag for marking parameter delta as an absolute value.

See Also:

Constant Field Values

ABSOLUTE_D

public static final String ABSOLUTE_D

Description for flag abs.

See Also:

Constant Field Values

DELTA_P

public static final String DELTA_P

Option string for parameter delta.

See Also:

Constant Field Values

DELTA_D

public static final String DELTA_D

Description for parameter delta.

See Also:

Constant Field Values

DEFAULT_DELTA

public static final double DEFAULT_DELTA

The default value for delta.

See Also:

Constant Field Values

delta

private double delta

Threshold for strong eigenpairs, can be absolute or relative.

absolute

private boolean absolute

Indicates wether delta is an absolute or a relative value.

pcaParameters

private String[] pcaParameters

The parameter settings for the PCA.

Constructor Detail

KernelFourCPreprocessor

public KernelFourCPreprocessor()

Method Detail

runVarianceAnalysis

protected void runVarianceAnalysis(Integer id,
                                   List<QueryResult<D>> neighbors,
                                   Database<V> database)

This method implements the type of variance analysis to be computed for a given point.

Example1: for 4C, this method should implement a PCA for the given point. Example2: for PreDeCon, this method should implement a simple axis-parallel variance analysis.

Specified by:

runVarianceAnalysis in class ProjectedDBSCANPreprocessor<D extends Distance<D>,V extends RealVector<V,?>>

Parameters:

id - the given point

neighbors - the neighbors as query results of the given point

database - the database for which the preprocessing is performed

setParameters

public String[] setParameters(String[] args)
                       throws ParameterException

Sets the values for the parameters alpha, pca and pcaDistancefunction if specified. If the parameters are not specified default values are set.

Specified by:

setParameters in interface Parameterizable

Overrides:

setParameters in class ProjectedDBSCANPreprocessor<D extends Distance<D>,V extends RealVector<V,?>>

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[])

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()