de.lmu.ifi.dbs.elki.algorithm.benchmark

Class ValidateApproximativeKNNIndex<O,D extends Distance<D>>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,D,Result>

de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex<O,D>

Type Parameters:

O - Object type

All Implemented Interfaces:

Algorithm, Parameterizable

public class ValidateApproximativeKNNIndex<O,D extends Distance<D>>
extends AbstractDistanceBasedAlgorithm<O,D,Result>

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).

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ValidateApproximativeKNNIndex.Parameterizer<O,D extends Distance<D>> Parameterization class

Field Summary

Fields

Modifier and Type	Field and 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 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 de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
ValidateApproximativeKNNIndex(DistanceFunction<? super O,D> distanceFunction, int k, DatabaseConnection queries, double sampling, boolean forcelinear, RandomFactory random, Pattern pattern) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
Result	run(Database database, Relation<O> relation) Run the algorithm.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

getDistanceFunction

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

makeParameterDistanceFunction, run

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 Pattern pattern

Filter pattern

Constructor Detail

ValidateApproximativeKNNIndex

public ValidateApproximativeKNNIndex(DistanceFunction<? super O,D> distanceFunction,
                             int k,
                             DatabaseConnection queries,
                             double sampling,
                             boolean forcelinear,
                             RandomFactory random,
                             Pattern pattern)

Constructor.

Parameters:

distanceFunction - 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 Result run(Database database,
         Relation<O> relation)

Run the algorithm.

Parameters:

database - Database

relation - Relation

Returns:

Null result

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<Result>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<Result>

Returns:

the static logger