de.lmu.ifi.dbs.elki.distance.similarityfunction

Class AbstractIndexBasedSimilarityFunction<O,I extends Index,R,D extends Distance<D>>

java.lang.Object

de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction<O,I,R,D>

Type Parameters:

O - object type

I - index type

D - distance type

All Implemented Interfaces:

IndexBasedSimilarityFunction<O,D>, SimilarityFunction<O,D>, Parameterizable

Direct Known Subclasses:

FractionalSharedNearestNeighborSimilarityFunction, SharedNearestNeighborSimilarityFunction

public abstract class AbstractIndexBasedSimilarityFunction<O,I extends Index,R,D extends Distance<D>>
extends Object
implements IndexBasedSimilarityFunction<O,D>

Abstract super class for distance functions needing a preprocessor.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractIndexBasedSimilarityFunction.Instance<O,I extends Index,R,D extends Distance<D>> The actual instance bound to a particular database.
static class	AbstractIndexBasedSimilarityFunction.Parameterizer<F extends IndexFactory<?,?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	INDEX_ID Parameter to specify the preprocessor to be used.
protected IndexFactory<O,I>	indexFactory Parameter to specify the preprocessor to be used.

Constructor Summary

Constructors

Constructor and Description
AbstractIndexBasedSimilarityFunction(IndexFactory<O,I> indexFactory) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
TypeInformation	getInputTypeRestriction() Get the input data type of the function.
abstract <T extends O> AbstractIndexBasedSimilarityFunction.Instance<T,?,R,D>	instantiate(Relation<T> database) Preprocess the database to get the actual distance function.
boolean	isSymmetric() Is this function symmetric?

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.similarityfunction.SimilarityFunction

getDistanceFactory

Field Detail

INDEX_ID

public static final OptionID INDEX_ID

Parameter to specify the preprocessor to be used.

Key: -similarityfunction.preprocessor

indexFactory

protected IndexFactory<O,I extends Index> indexFactory

Parameter to specify the preprocessor to be used.

Key: -similarityfunction.preprocessor

Constructor Detail

AbstractIndexBasedSimilarityFunction

public AbstractIndexBasedSimilarityFunction(IndexFactory<O,I> indexFactory)

Constructor.

Parameters:

indexFactory -

Method Detail

instantiate

public abstract <T extends O> AbstractIndexBasedSimilarityFunction.Instance<T,?,R,D> instantiate(Relation<T> database)

Description copied from interface: IndexBasedSimilarityFunction

Preprocess the database to get the actual distance function.

Specified by:

instantiate in interface IndexBasedSimilarityFunction<O,D extends Distance<D>>

Specified by:

instantiate in interface SimilarityFunction<O,D extends Distance<D>>

Parameters:

database - Representation to use

Returns:

Actual distance query.

isSymmetric

public boolean isSymmetric()

Description copied from interface: SimilarityFunction

Is this function symmetric?

Specified by:

isSymmetric in interface SimilarityFunction<O,D extends Distance<D>>

Returns:

true when symmetric

getInputTypeRestriction

public final TypeInformation getInputTypeRestriction()

Description copied from interface: SimilarityFunction

Get the input data type of the function.

Specified by:

getInputTypeRestriction in interface SimilarityFunction<O,D extends Distance<D>>