Uses of Interface
de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

Packages that use SimilarityFunction

de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.

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

Methods in de.lmu.ifi.dbs.elki.database with parameters of type SimilarityFunction

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

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

interface	DBIDSimilarityFunction<D extends Distance<D>> Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs.
interface	IndexBasedSimilarityFunction<O,D extends Distance<D>> Interface for preprocessor/index based similarity functions.
interface	NormalizedPrimitiveSimilarityFunction<O,D extends Distance<D>> Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.
interface	NormalizedSimilarityFunction<O,D extends Distance<?>> Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
interface	PrimitiveSimilarityFunction<O,D extends Distance<D>> Interface SimilarityFunction describes the requirements of any similarity function.

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

class	AbstractDBIDSimilarityFunction<D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
class	AbstractIndexBasedSimilarityFunction<O,I extends Index,R,D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
class	AbstractPrimitiveSimilarityFunction<O,D extends Distance<D>> Base implementation of a similarity function.
class	FractionalSharedNearestNeighborSimilarityFunction<O> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
class	SharedNearestNeighborSimilarityFunction<O> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

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

class	FooKernelFunction Provides an experimental KernelDistanceFunction for NumberVectors.
class	LinearKernelFunction<O extends NumberVector<?,?>> Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
class	PolynomialKernelFunction Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.