de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Class SubspaceDistanceFunction.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,FilteredLocalPCAIndex<V>,SubspaceDistance,SubspaceDistanceFunction>
                  de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceDistanceFunction.Instance<V>

All Implemented Interfaces:

DatabaseQuery, DistanceQuery<V,SubspaceDistance>, FilteredLocalPCABasedDistanceFunction.Instance<V,FilteredLocalPCAIndex<V>,SubspaceDistance>, IndexBasedDistanceFunction.Instance<V,FilteredLocalPCAIndex<V>,SubspaceDistance>

Enclosing class:

SubspaceDistanceFunction

public static class SubspaceDistanceFunction.Instance<V extends NumberVector<?,?>>
extends AbstractIndexBasedDistanceFunction.Instance<V,FilteredLocalPCAIndex<V>,SubspaceDistance,SubspaceDistanceFunction>
implements FilteredLocalPCABasedDistanceFunction.Instance<V,FilteredLocalPCAIndex<V>,SubspaceDistance>

The actual instance bound to a particular database.

Field Summary

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

SubspaceDistanceFunction.Instance(Relation<V> database, FilteredLocalPCAIndex<V> index, SubspaceDistanceFunction distanceFunction)

Method Summary

SubspaceDistance	distance(DBID id1, DBID id2) Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.
SubspaceDistance	distance(V o1, V o2, PCAFilteredResult pca1, PCAFilteredResult pca2) Computes the distance between two given DatabaseObjects according to this distance function.

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.distance.distancefunction.IndexBasedDistanceFunction.Instance

getIndex

Methods inherited from interface de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery

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

Constructor Detail

SubspaceDistanceFunction.Instance

public SubspaceDistanceFunction.Instance(Relation<V> database,
                                         FilteredLocalPCAIndex<V> index,
                                         SubspaceDistanceFunction distanceFunction)

Parameters:

database - Database

index - Index

Method Detail

distance

public SubspaceDistance distance(DBID id1,
                                 DBID id2)

Note, that the pca of o1 must have equal ore more strong eigenvectors than the pca of o2.

Specified by:

distance in interface DistanceQuery<V extends NumberVector<?,?>,SubspaceDistance>

Specified by:

distance in class AbstractDistanceQuery<V extends NumberVector<?,?>,SubspaceDistance>

Parameters:

id1 - first object id

id2 - second object id

Returns:

the distance between the two objects specified by their object ids

distance

public SubspaceDistance distance(V o1,
                                 V o2,
                                 PCAFilteredResult pca1,
                                 PCAFilteredResult pca2)

Computes the distance between two given DatabaseObjects according to this distance function. Note, that the first pca must have an equal number of strong eigenvectors than the second pca.

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

pca1 - first PCA

pca2 - second PCA

Returns:

the distance between two given DatabaseObjects according to this distance function