de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj
Class PreDeConSubspaceIndex<V extends NumberVector<? extends V,?>,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<? extends V,?>,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

static class

PreDeConSubspaceIndex.Factory<V extends NumberVector<? extends V,?>,D extends Distance<D>> Factory

Field Summary

protected double	delta The threshold for small eigenvalues.
private int	kappa The kappa value for generating the variance vector.
private static Logging	logger 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

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

Method Summary

protected SubspaceProjectionResult	computeProjection(DBID id, List<DistanceResultPair<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.

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

getLocalProjection, preprocess

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

delete, deleteAll, getPageFileStatistics, insert, insertAll

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.index.Index

delete, deleteAll, getPageFileStatistics, insert, insertAll

Field Detail

logger

private static final Logging logger

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(DBID id,
                                                     List<DistanceResultPair<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<? extends V,?>,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<? extends V,?>>

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<? extends V,?>>

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<? extends V,?>,SubspaceProjectionResult>

Returns:

Logger