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

Class PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>>

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.PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D>

Type Parameters:

O - The object type

D - The distance type

All Implemented Interfaces:

IndexFactory<O,KNNIndex<O>>, Parameterizable

Enclosing class:

PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>>

public static class PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>>
extends AbstractMaterializeKNNPreprocessor.Factory<O,D,KNNList<D>>

The parameterizable factory.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) int	partitions The number of partitions to use
private RandomFactory	rnd Random generator

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
PartitionApproximationMaterializeKNNPreprocessor.Factory(int k, DistanceFunction<? super O,D> distanceFunction, int partitions, RandomFactory rnd) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
PartitionApproximationMaterializeKNNPreprocessor<O,D>	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

Field Detail

partitions

int partitions

The number of partitions to use

rnd

private final RandomFactory rnd

Random generator

Constructor Detail

PartitionApproximationMaterializeKNNPreprocessor.Factory

public PartitionApproximationMaterializeKNNPreprocessor.Factory(int k,
                                                        DistanceFunction<? super O,D> distanceFunction,
                                                        int partitions,
                                                        RandomFactory rnd)

Constructor.

Parameters:

k - k

distanceFunction - distance function

partitions - number of partitions

rnd -

Method Detail

instantiate

public PartitionApproximationMaterializeKNNPreprocessor<O,D> 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,KNNIndex<O>>

Specified by:

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

Parameters:

relation - the relation to index