de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Class PreDeConSubspaceIndex<V extends NumberVector<?>,D extends Distance<D>>

java.lang.Object

de.lmu.ifi.dbs.elki.index.AbstractIndex<O>

de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex<NV,P>

de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex<V,D,SubspaceProjectionResult>

de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.PreDeConSubspaceIndex<V,D>

Type Parameters:

D - Distance type

V - Vector type

All Implemented Interfaces:

Index, LocalProjectionIndex<V,SubspaceProjectionResult>, SubspaceProjectionIndex<V,SubspaceProjectionResult>, Result

@Title(value="PreDeCon Preprocessor")
@Description(value="Computes the projected dimension of objects of a certain database according to the PreDeCon algorithm.\nThe variance analysis is based on epsilon range queries.")
public class PreDeConSubspaceIndex<V extends NumberVector<?>,D extends Distance<D>>
extends AbstractSubspaceProjectionIndex<V,D,SubspaceProjectionResult>

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

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PreDeConSubspaceIndex.Factory<V extends NumberVector<?>,D extends Distance<D>> Factory.

Field Summary

Fields

Modifier and Type	Field and Description
protected double	delta The threshold for small eigenvalues.
private int	kappa The kappa value for generating the variance vector.
private static Logging	LOG The logger for this class.

Fields inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex

epsilon, minpts, rangeQueryDistanceFunction

Fields inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex

storage

Fields inherited from class de.lmu.ifi.dbs.elki.index.AbstractIndex

relation

Constructor Summary

Constructors

Constructor and Description
PreDeConSubspaceIndex(Relation<V> relation, D epsilon, DistanceFunction<V,D> rangeQueryDistanceFunction, int minpts, double delta) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected SubspaceProjectionResult	computeProjection(DBIDRef id, DistanceDBIDList<D> neighbors, Relation<V> database) This method implements the type of variance analysis to be computed for a given point.
protected Logging	getLogger() Get the classes static logger.
String	getLongName() A "pretty" name for the result, for use in titles, captions and menus.
String	getShortName() A short name for the result, useful for file names.
void	logStatistics() Send statistics to the logger, if enabled.

Methods inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj.AbstractSubspaceProjectionIndex

getLocalProjection, initialize

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger for this class.

delta

protected double delta

The threshold for small eigenvalues.

kappa

private final int kappa

The kappa value for generating the variance vector.

See Also:

Constant Field Values

Constructor Detail

PreDeConSubspaceIndex

public PreDeConSubspaceIndex(Relation<V> relation,
                     D epsilon,
                     DistanceFunction<V,D> rangeQueryDistanceFunction,
                     int minpts,
                     double delta)

Constructor.

Parameters:

relation - Relation

epsilon - Epsilon value

rangeQueryDistanceFunction - range query distance

minpts - Minpts parameter

delta - Delta value

Method Detail

computeProjection

protected SubspaceProjectionResult computeProjection(DBIDRef id,
                                         DistanceDBIDList<D> neighbors,
                                         Relation<V> database)

Description copied from class: AbstractSubspaceProjectionIndex

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:

computeProjection in class AbstractSubspaceProjectionIndex<V extends NumberVector<?>,D extends Distance<D>,SubspaceProjectionResult>

Parameters:

id - the given point

neighbors - the neighbors as query results of the given point

database - the database for which the preprocessing is performed

Returns:

local subspace projection

getLongName

public String getLongName()

Description copied from interface: Result

A "pretty" name for the result, for use in titles, captions and menus.

Specified by:

getLongName in interface Result

Specified by:

getLongName in class AbstractIndex<V extends NumberVector<?>>

Returns:

result name

getShortName

public String getShortName()

Description copied from interface: Result

A short name for the result, useful for file names.

Specified by:

getShortName in interface Result

Specified by:

getShortName in class AbstractIndex<V extends NumberVector<?>>

Returns:

result name

getLogger

protected Logging getLogger()

Description copied from class: AbstractPreprocessorIndex

Get the classes static logger.

Specified by:

getLogger in class AbstractPreprocessorIndex<V extends NumberVector<?>,SubspaceProjectionResult>

Returns:

Logger

logStatistics

public void logStatistics()

Description copied from interface: Index

Send statistics to the logger, if enabled. Note: you must have set the logging level appropriately before initializing the index! Otherwise, the index might not have collected the desired statistics.