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

Class RangeQueryBenchmarkAlgorithm<O extends NumberVector>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm<O>

Type Parameters:

O - Vector type

All Implemented Interfaces:

Algorithm, DistanceBasedAlgorithm<O>

public class RangeQueryBenchmarkAlgorithm<O extends NumberVector>
extends AbstractDistanceBasedAlgorithm<O,Result>

Benchmarking algorithm that computes a range query for each point. The query points can either come from a separate data source, or from the original database. In the latter case, the database is expected to have an additional, 1-dimensional vector field. For the separate data source, the last dimension will be cut off and used as query radius.

The simplest data setup clearly is to have an input file:

 x y z label
 1 2 3 Example1
 4 5 6 Example2
 7 8 9 Example3
 

and a query file:

 x y z radius
 1 2 3 1.2
 4 5 6 3.3
 7 8 9 4.1
 

where the additional column is the radius.

Alternatively, if you work with a single file, you need to use the filter command -dbc.filter SplitNumberVectorFilter -split.dims 1,2,3 to split the relation into a 3-dimensional data vector, and 1 dimensional radius vector.

TODO: alternatively, allow using a fixed radius?

Since:

0.5.5

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RangeQueryBenchmarkAlgorithm.Parameterizer<O extends NumberVector> Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.
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.AbstractAlgorithm

ALGORITHM_ID

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

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O> distanceFunction, DatabaseConnection queries, 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<O> relation) Run the algorithm, with a separate query set.
Result	run(Database database, Relation<O> relation, Relation<NumberVector> radrel) Run the algorithm, with separate radius 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.

queries

protected DatabaseConnection queries

The alternate query point source. Optional.

sampling

protected double sampling

Sampling size.

random

protected RandomFactory random

Random generator factory

Constructor Detail

RangeQueryBenchmarkAlgorithm

public RangeQueryBenchmarkAlgorithm(DistanceFunction<? super O> distanceFunction,
                                    DatabaseConnection queries,
                                    double sampling,
                                    RandomFactory random)

Constructor.

Parameters:

distanceFunction - Distance function to use

queries - Query data set (may be null!)

sampling - Sampling rate

random - Random factory

Method Detail

run

public Result run(Database database,
                  Relation<O> relation,
                  Relation<NumberVector> radrel)

Run the algorithm, with separate radius relation

Parameters:

database - Database

relation - Relation

radrel - Radius relation

Returns:

Null result

run

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

Run the algorithm, with a separate query set.

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