Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      extended by de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<O,R>
          extended by de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm<V,D,CollectionResult<DoubleVector>>
              extended by de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram<V,D>
Type Parameters:
V - Vector type
D - Distance type
All Implemented Interfaces:
Algorithm<V,CollectionResult<DoubleVector>>, Parameterizable

@Title(value="Ranking Quality Histogram")
@Description(value="Evaluates the effectiveness of a distance function via the obtained rankings.")
public class RankingQualityHistogram<V extends DatabaseObject,D extends NumberDistance<D,?>>
extends DistanceBasedAlgorithm<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. TODO: Make number of bins configurable TODO: Add sampling

Author:
Erich Schubert

Field Summary
 
Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm
DISTANCE_FUNCTION_ID, DISTANCE_FUNCTION_PARAM
 
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debug, logger
 
Constructor Summary
RankingQualityHistogram(Parameterization config)
          Constructor, adhering to Parameterizable
 
Method Summary
protected  CollectionResult<DoubleVector> runInTime(Database<V> database)
          Run the algorithm.
 
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm
getDistanceFactory, getDistanceFunction
 
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm
isTime, isVerbose, run, setTime, setVerbose
 
Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable
debugFine, debugFiner, debugFinest, exception, progress, verbose, warning
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

RankingQualityHistogram

public RankingQualityHistogram(Parameterization config)
Constructor, adhering to Parameterizable

Parameters:
config - Parameterization
Method Detail

runInTime

protected CollectionResult<DoubleVector> runInTime(Database<V> database)
                                            throws IllegalStateException
Run the algorithm.

Specified by:
runInTime in class AbstractAlgorithm<V extends DatabaseObject,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).

Release 0.3 (2010-03-31_1612)