Uses of Interface
de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery

Packages that use SimilarityQuery

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.query	Database queries - computing distances, neighbors, similarities - API and general documentation.
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
de.lmu.ifi.dbs.elki.database.query.similarity	Prepared queries for similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type SimilarityQuery

protected void	SNNClustering.expandCluster(SimilarityQuery<O,IntegerDistance> snnInstance, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.
protected List<DBID>	SNNClustering.findSNNNeighbors(SimilarityQuery<O,IntegerDistance> snnInstance, DBID queryObject) Returns the shared nearest neighbors of the specified query object in the given database.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.algorithm.outlier

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type SimilarityQuery

private KNNList<DoubleDistance>

SOD.getKNN(Relation<V> database, SimilarityQuery<V,IntegerDistance> snnInstance, DBID queryObject) Provides the k nearest neighbors in terms of the shared nearest neighbor distance.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.database

Methods in de.lmu.ifi.dbs.elki.database that return SimilarityQuery

static <O,D extends Distance<D>> SimilarityQuery<O,D>	QueryUtil.getSimilarityQuery(Database database, SimilarityFunction<? super O,D> similarityFunction, Object... hints) Get a similarity query, automatically choosing a relation.
<O,D extends Distance<D>> SimilarityQuery<O,D>	AbstractDatabase.getSimilarityQuery(Relation<O> objQuery, SimilarityFunction<? super O,D> similarityFunction, Object... hints)
<O,D extends Distance<D>> SimilarityQuery<O,D>	Database.getSimilarityQuery(Relation<O> relation, SimilarityFunction<? super O,D> similarityFunction, Object... hints) Get the similarity query for a particular similarity function.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.database.query

Subinterfaces of SimilarityQuery in de.lmu.ifi.dbs.elki.database.query

interface

DistanceSimilarityQuery<O,D extends Distance<D>> Interface that is a combination of distance and a similarity function.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.database.query.distance

Classes in de.lmu.ifi.dbs.elki.database.query.distance that implement SimilarityQuery

class

PrimitiveDistanceSimilarityQuery<O,D extends Distance<D>> Combination query class, for convenience.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.database.query.similarity

Classes in de.lmu.ifi.dbs.elki.database.query.similarity that implement SimilarityQuery

class	AbstractDBIDSimilarityQuery<O,D extends Distance<D>> Run a database query in a database context.
class	AbstractSimilarityQuery<O,D extends Distance<D>> A distance query serves as adapter layer for database and primitive similarity functions.
class	PrimitiveSimilarityQuery<O,D extends Distance<D>> Run a database query in a database context.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter declared as SimilarityQuery

private SimilarityQuery<? super O,? extends NumberDistance<?,?>>

AbstractSimilarityAdapter.Instance.similarityQuery The similarity query we use.

Constructors in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with parameters of type SimilarityQuery

AbstractSimilarityAdapter.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<? super O,? extends NumberDistance<?,?>> similarityQuery)
Constructor.

SimilarityAdapterArccos.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<O,? extends NumberDistance<?,?>> similarityQuery)
Constructor.

SimilarityAdapterLinear.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<? super O,? extends NumberDistance<?,?>> similarityQuery)
Constructor.

SimilarityAdapterLn.Instance(Relation<O> database, DistanceFunction<? super O,DoubleDistance> parent, SimilarityQuery<O,? extends NumberDistance<?,?>> similarityQuery)
Constructor.

Uses of SimilarityQuery in de.lmu.ifi.dbs.elki.distance.similarityfunction

Subinterfaces of SimilarityQuery in de.lmu.ifi.dbs.elki.distance.similarityfunction

static interface

IndexBasedSimilarityFunction.Instance<T,I extends Index,D extends Distance<D>> Instance interface for index/preprocessor based distance functions.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction that implement SimilarityQuery

static class	AbstractIndexBasedSimilarityFunction.Instance<O,I extends Index,R,D extends Distance<D>> The actual instance bound to a particular database.
static class	FractionalSharedNearestNeighborSimilarityFunction.Instance<T> Actual instance for a dataset.
static class	SharedNearestNeighborSimilarityFunction.Instance<O> Instance for a particular database.

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction that return SimilarityQuery

<T extends O> SimilarityQuery<T,D>	SimilarityFunction.instantiate(Relation<T> relation) Instantiate with a representation to get the actual similarity query.
<T extends O> SimilarityQuery<T,D>	AbstractPrimitiveSimilarityFunction.instantiate(Relation<T> relation)