de.lmu.ifi.dbs.elki.algorithm.statistics

Class RangeQuerySelectivity<V extends NumberVector>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<V>

public class RangeQuerySelectivity<V extends NumberVector>
extends AbstractDistanceBasedAlgorithm<V,Result>

Evaluate the range query selectivity. TODO: Add sampling

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RangeQuerySelectivity.Parameterizer<V extends NumberVector> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.
protected double	radius Query radius
protected RandomFactory	random Random sampling seed.
protected double	sampling Relative number of object to use in sampling.

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

ALGORITHM_ID

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
RangeQuerySelectivity(DistanceFunction<? super V> distanceFunction, double radius, double sampling, RandomFactory random) Constructor.

Method Summary

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<V> relation)

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

getDistanceFunction

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

run

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.algorithm.Algorithm

run

Field Detail

LOG

private static final Logging LOG

The logger for this class.

radius

protected double radius

Query radius

sampling

protected double sampling

Relative number of object to use in sampling.

random

protected RandomFactory random

Random sampling seed.

Constructor Detail

RangeQuerySelectivity

public RangeQuerySelectivity(DistanceFunction<? super V> distanceFunction,
                             double radius,
                             double sampling,
                             RandomFactory random)

Constructor.

Parameters:

distanceFunction - Distance function

radius - Radius

sampling - Sampling rate

random - Random sampling generator

Method Detail

run

public Result run(Database database,
                  Relation<V> relation)

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