de.lmu.ifi.dbs.elki.index.preprocessed.knn

Class MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry>

java.lang.Object

de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory<O,D,KNNList<D>>

de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O,D,N,E>

Type Parameters:

O - the type of database objects the preprocessor can be applied to

D - the type of distance the used distance function will return

N - the type of spatial nodes in the spatial index

E - the type of spatial entries in the spatial index

All Implemented Interfaces:

IndexFactory<O,KNNIndex<O>>, Parameterizable

Enclosing class:

MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry>

public static class MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry>
extends AbstractMaterializeKNNPreprocessor.Factory<O,D,KNNList<D>>

The parameterizable factory.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry> Parameterization class.

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory

DISTANCE_FUNCTION_ID, distanceFunction, k, K_ID

Constructor Summary

Constructors

Constructor and Description
MetricalIndexApproximationMaterializeKNNPreprocessor.Factory(int k, DistanceFunction<? super O,D> distanceFunction) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
MetricalIndexApproximationMaterializeKNNPreprocessor<O,D,N,E>	instantiate(Relation<O> relation) Sets the database in the distance function of this index (if existing).

Methods inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory

getDistanceFactory, getDistanceFunction, getInputTypeRestriction

Methods inherited from class java.lang.Object

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

Constructor Detail

MetricalIndexApproximationMaterializeKNNPreprocessor.Factory

public MetricalIndexApproximationMaterializeKNNPreprocessor.Factory(int k,
                                                            DistanceFunction<? super O,D> distanceFunction)

Constructor.

Parameters:

k - k

distanceFunction - distance function

Method Detail

instantiate

public MetricalIndexApproximationMaterializeKNNPreprocessor<O,D,N,E> instantiate(Relation<O> relation)

Description copied from interface: IndexFactory

Sets the database in the distance function of this index (if existing).

Specified by:

instantiate in interface IndexFactory<O extends NumberVector<?>,KNNIndex<O extends NumberVector<?>>>

Specified by:

instantiate in class AbstractMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>,KNNList<D extends Distance<D>>>

Parameters:

relation - the relation to index