de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Class HiSCDistanceFunction.Instance<V extends NumberVector<?>>

java.lang.Object

de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery<O>

de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery<O,D>

de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery<O,D>

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance<V,P,PreferenceVectorBasedCorrelationDistance,AbstractPreferenceVectorBasedCorrelationDistanceFunction<? super V,?>>

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V,HiSCPreferenceVectorIndex<V>>

de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.HiSCDistanceFunction.Instance<V>

Type Parameters:

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

All Implemented Interfaces:

DatabaseQuery, DistanceQuery<V,PreferenceVectorBasedCorrelationDistance>, IndexBasedDistanceFunction.Instance<V,HiSCPreferenceVectorIndex<V>,PreferenceVectorBasedCorrelationDistance>

Enclosing class:

HiSCDistanceFunction<V extends NumberVector<?>>

public static class HiSCDistanceFunction.Instance<V extends NumberVector<?>>
extends AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V,HiSCPreferenceVectorIndex<V>>

The actual instance bound to a particular database.

Field Summary

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

epsilon

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance

index, parent

Fields inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

relation

Fields inherited from interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery

HINT_BULK, HINT_EXACT, HINT_HEAVY_USE, HINT_NO_CACHE, HINT_OPTIMIZED_ONLY, HINT_SINGLE

Constructor Summary

Constructors

Constructor and Description
HiSCDistanceFunction.Instance(Relation<V> database, HiSCPreferenceVectorIndex<V> index, double epsilon, HiSCDistanceFunction<? super V> distanceFunction) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
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.

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

distance, weightedDistance, weightedDistance, weightedPrefereneceVectorDistance

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

getDistanceFunction, getIndex

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDatabaseDistanceQuery

distance, distance, distance

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.distance.AbstractDistanceQuery

getDistanceFactory, infiniteDistance, nullDistance, undefinedDistance

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

getRelation

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.database.query.distance.DistanceQuery

distance, distance, distance, getDistanceFactory, getRelation, infiniteDistance, nullDistance, undefinedDistance

Constructor Detail

HiSCDistanceFunction.Instance

public HiSCDistanceFunction.Instance(Relation<V> database,
                             HiSCPreferenceVectorIndex<V> index,
                             double epsilon,
                             HiSCDistanceFunction<? super V> distanceFunction)

Constructor.

Parameters:

database - Database

index - Preprocessed index

epsilon - Epsilon

distanceFunction - parent distance function

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.Instance<V extends NumberVector<?>,HiSCPreferenceVectorIndex<V extends NumberVector<?>>>

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