Package elki.application.benchmark

Class ValidateApproximativeKNNIndex<O>

java.lang.Object

elki.application.AbstractApplication

elki.application.AbstractDistanceBasedApplication<O>

elki.application.benchmark.ValidateApproximativeKNNIndex<O>

Type Parameters:

O - Object type

public class ValidateApproximativeKNNIndex<O>
extends AbstractDistanceBasedApplication<O>

Algorithm to validate the quality of an approximative kNN index, by performing a number of queries and comparing them to the results obtained by exact indexing (e.g., linear scanning).

Since:

0.6.0

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
protected boolean	forcelinear	Force linear scanning.
protected int	k	Number of neighbors to retrieve.
private static Logging	LOG	The logger for this class.
protected java.util.regex.Pattern	pattern	Filter pattern
protected DatabaseConnection	queries	The alternate query point source.
protected RandomFactory	random	Random generator factory
protected double	sampling	Sampling size.

Fields inherited from class elki.application.AbstractDistanceBasedApplication

distance, inputstep

Fields inherited from class elki.application.AbstractApplication

REFERENCE, VERSION

Constructor Summary

Constructors

Constructor	Description
ValidateApproximativeKNNIndex(InputStep input, Distance<? super O> distance, int k, DatabaseConnection queries, double sampling, boolean forcelinear, RandomFactory random, java.util.regex.Pattern pattern)	Constructor.

Method Summary

Modifier and Type	Method	Description
void	run()	Runs the application.

Methods inherited from class elki.application.AbstractApplication

printErrorMessage, runCLIApplication, usage

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.

k

protected int k

Number of neighbors to retrieve.

queries

protected DatabaseConnection queries

The alternate query point source. Optional.

sampling

protected double sampling

Sampling size.

forcelinear

protected boolean forcelinear

Force linear scanning.

random

protected RandomFactory random

Random generator factory

pattern

protected java.util.regex.Pattern pattern

Filter pattern

Constructor Detail

ValidateApproximativeKNNIndex

public ValidateApproximativeKNNIndex(InputStep input,
                                     Distance<? super O> distance,
                                     int k,
                                     DatabaseConnection queries,
                                     double sampling,
                                     boolean forcelinear,
                                     RandomFactory random,
                                     java.util.regex.Pattern pattern)

Constructor.

Parameters:

input - Data input

distance - Distance function to use

k - K parameter

queries - Query data set (may be null!)

sampling - Sampling rate

random - Random factory

forcelinear - Force the use of linear scanning.

pattern -

Method Detail

run

public void run()

Description copied from class: AbstractApplication

Runs the application.

Specified by:

run in class AbstractApplication