de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Class HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
          de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction<O,D>
              de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction<V,P,D>
                  de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction<V,P,PreferenceVectorBasedCorrelationDistance>
                      de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction<V,P>
                          de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction<V,P>

Type Parameters:

V - the type of NumberVector to compute the distances in between

P - the type of Preprocessor used

All Implemented Interfaces:

DistanceFunction<V,PreferenceVectorBasedCorrelationDistance>, PreprocessorBasedDistanceFunction<V,P,PreferenceVectorBasedCorrelationDistance>, MeasurementFunction<V,PreferenceVectorBasedCorrelationDistance>, PreprocessorBasedMeasurementFunction<V,P,PreferenceVectorBasedCorrelationDistance>, PreprocessorClient<P,V>, Parameterizable

public class HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
extends AbstractPreferenceVectorBasedCorrelationDistanceFunction<V,P>

Distance function used in the HiSC algorithm.

Author:

Elke Achtert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

EPSILON_ID

Fields inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

distanceFactory

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

HiSCDistanceFunction(Parameterization config)
Constructor.

Method Summary

PreferenceVectorBasedCorrelationDistance	correlationDistance(V v1, V v2, BitSet pv1, BitSet pv2) Computes the correlation distance between the two specified vectors according to the specified preference vectors.
Class<?>	getDefaultPreprocessorClass() Returns the name of the default preprocessor.

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction

correlationDistance, getAssociationID, getEpsilon, getPreprocessorDescription, getPreprocessorSuperClass, weightedDistance, weightedDistance, weightedPrefereneceVectorDistance, weightedPrefereneceVectorDistance

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbstractCorrelationDistanceFunction

distance

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPreprocessorBasedDistanceFunction

getPreprocessor, setDatabase

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

distance, distance

Methods inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

getDatabase, getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance, valueOf

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

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

distance, distance

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance, valueOf

Constructor Detail

HiSCDistanceFunction

public HiSCDistanceFunction(Parameterization config)

Constructor.

Parameters:

config - Configuration

Method Detail

correlationDistance

public PreferenceVectorBasedCorrelationDistance correlationDistance(V v1,
                                                                    V v2,
                                                                    BitSet pv1,
                                                                    BitSet pv2)

Computes the correlation distance between the two specified vectors according to the specified preference vectors.

Specified by:

correlationDistance in class AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>

Parameters:

v1 - first vector

v2 - second vector

pv1 - the first preference vector

pv2 - the second preference vector

Returns:

the correlation distance between the two specified vectors

getDefaultPreprocessorClass

public Class<?> getDefaultPreprocessorClass()

Description copied from interface: PreprocessorClient

Returns the name of the default preprocessor.

Returns:

the name of the default preprocessor, which is HiSCPreprocessor