de.lmu.ifi.dbs.elki.algorithm.statistics
Class EvaluateRankingQuality<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>
      de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<V,D,CollectionResult<DoubleVector>>
          de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality<V,D>

Type Parameters:

V - Vector type

D - Distance type

All Implemented Interfaces:

Algorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="Evaluate Ranking Quality")
@Description(value="Evaluates the effectiveness of a distance function via the obtained rankings.")
public class EvaluateRankingQuality<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<V,D,CollectionResult<DoubleVector>>

Evaluate a distance function with respect to kNN queries. For each point, the neighbors are sorted by distance, then the ROC AUC is computed. A score of 1 means that the distance function provides a perfect ordering of relevant neighbors first, then irrelevant neighbors. A value of 0.5 can be obtained by random sorting. A value of 0 means the distance function is inverted, i.e. a similarity. In contrast to RankingQualityHistogram, this method uses a binning based on the centrality of objects. This allows analyzing whether or not a particular distance degrades for the outer parts of a cluster. TODO: Allow fixed binning range, configurable TODO: Add sampling

Nested Class Summary

static class

EvaluateRankingQuality.Parameterizer<V extends NumberVector<V,?>,D extends NumberDistance<D,?>> Parameterization class.

Field Summary

static OptionID	HISTOGRAM_BINS_ID Option to configure the number of bins to use.
private static Logging	logger The logger for this class.
(package private) int	numbins Number of bins to use.

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

DISTANCE_FUNCTION_ID

Constructor Summary

EvaluateRankingQuality(DistanceFunction<? super V,D> distanceFunction, int numbins)
Constructor.

Method Summary

TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
HistogramResult<DoubleVector>	run(Database database) 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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

logger

private static final Logging logger

The logger for this class.

HISTOGRAM_BINS_ID

public static final OptionID HISTOGRAM_BINS_ID

Option to configure the number of bins to use.

numbins

int numbins

Number of bins to use.

Constructor Detail

EvaluateRankingQuality

public EvaluateRankingQuality(DistanceFunction<? super V,D> distanceFunction,
                              int numbins)

Constructor.

Parameters:

distanceFunction -

numbins -

Method Detail

run

public HistogramResult<DoubleVector> run(Database database)
                                  throws IllegalStateException

Run the algorithm.

Specified by:

run in interface Algorithm

Overrides:

run in class AbstractAlgorithm<CollectionResult<DoubleVector>>

Parameters:

database - the database to run the algorithm on

Returns:

the Result computed by this algorithm

Throws:

IllegalStateException - if the algorithm has not been initialized properly (e.g. the setParameters(String[]) method has been failed to be called).

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<CollectionResult<DoubleVector>>

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<CollectionResult<DoubleVector>>

Returns:

the static logger