de.lmu.ifi.dbs.elki.preprocessing
Class FourCPreprocessor<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.FourCPreprocessor<D,V>

Type Parameters:

D - Distance type

V - Vector type

All Implemented Interfaces:

Preprocessor<V>, Parameterizable

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

Preprocessor for 4C local dimensionality and locally weighted matrix assignment to objects of a certain database.

Author:

Arthur Zimek

Field Summary

private boolean	absolute Indicates whether delta is an absolute or a relative value.
private Flag	ABSOLUTE_PARAM Flag for marking parameter delta as an absolute value.
static double	DEFAULT_DELTA The default value for delta.
private double	delta Threshold for strong eigenpairs, can be absolute or relative.
private DoubleParameter	DELTA_PARAM Option string for parameter delta.
private PCAFilteredRunner<V,?>	pca The Filtered PCA Runner

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

DEFAULT_DISTANCE_FUNCTION, DISTANCE_FUNCTION_ID, 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, logger

Constructor Summary

FourCPreprocessor()
Constructor

Method Summary

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

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

run

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

addOption, addParameterizable, addParameterizable, checkGlobalParameterConstraints, collectOptions, getAttributeSettings, getParameters, rememberParametersExcept, removeOption, removeParameterizable

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, 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, collectOptions, getParameters

Field Detail

ABSOLUTE_PARAM

private final Flag ABSOLUTE_PARAM

Flag for marking parameter delta as an absolute value.

DELTA_PARAM

private final DoubleParameter DELTA_PARAM

Option string for parameter delta.

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 whether delta is an absolute or a relative value.

pca

private PCAFilteredRunner<V extends RealVector<V,?>,?> pca

The Filtered PCA Runner

Constructor Detail

FourCPreprocessor

public FourCPreprocessor()

Constructor

Method Detail

runVarianceAnalysis

protected void runVarianceAnalysis(Integer id,
                                   List<DistanceResultPair<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 List<String> setParameters(List<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:

a list containing the unused parameters

Throws:

ParameterException - in case of wrong parameter-setting

shortDescription

public String shortDescription()

Description copied from class: AbstractParameterizable

Returns a short description of the class.

Specified by:

shortDescription in interface Parameterizable

Overrides:

shortDescription in class AbstractParameterizable

Returns:

Description of the class