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

Packages that use SimilarityFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.query.similarity	Prepared queries for similarity functions.
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.algorithm.clustering.affinitypropagation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation declared as SimilarityFunction

Modifier and Type	Field and Description
(package private) SimilarityFunction<? super O,D>	SimilarityBasedInitializationWithMedian.similarity Similarity function.
(package private) SimilarityFunction<? super O,D>	SimilarityBasedInitializationWithMedian.Parameterizer.similarity Similarity function.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation with parameters of type SimilarityFunction

Constructor and Description
SimilarityBasedInitializationWithMedian(SimilarityFunction<? super O,D> similarity, double quantile) Constructor.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as SimilarityFunction

Modifier and Type	Field and Description
protected SimilarityFunction<? super V,DoubleDistance>	ABOD.kernelFunction Store the configured Kernel version.
protected SimilarityFunction<V,DoubleDistance>	ABOD.Parameterizer.kernelFunction Distance function.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier with parameters of type SimilarityFunction

Constructor and Description
ABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction) Constructor for Angle-Based Outlier Detection (ABOD).
FastABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction, int k) Constructor for Angle-Based Outlier Detection (ABOD).
LBABOD(SimilarityFunction<? super V,DoubleDistance> kernelFunction, int k, int l) Actual constructor, with parameters.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace declared as SimilarityFunction

Modifier and Type	Field and Description
private SimilarityFunction<V,D>	SOD.similarityFunction Similarity function to use.
private SimilarityFunction<V,D>	SOD.Parameterizer.similarityFunction The similarity function.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with parameters of type SimilarityFunction

Constructor and Description
SOD(int knn, double alpha, SimilarityFunction<V,D> similarityFunction, boolean models) Constructor with parameters.

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

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

Modifier and Type	Method and Description
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>	Database.getSimilarityQuery(Relation<O> relation, SimilarityFunction<? super O,D> similarityFunction, Object... hints) Get the similarity query for a particular similarity function.
<O,D extends Distance<D>> SimilarityQuery<O,D>	AbstractDatabase.getSimilarityQuery(Relation<O> objQuery, SimilarityFunction<? super O,D> similarityFunction, Object... hints)

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

Methods in de.lmu.ifi.dbs.elki.database.query.similarity that return SimilarityFunction

Modifier and Type	Method and Description
SimilarityFunction<? super O,D>	SimilarityQuery.getSimilarityFunction() Get the inner similarity function.

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

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

Modifier and Type	Interface and Description
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> Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.
interface	NormalizedSimilarityFunction<O> Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
interface	PrimitiveDoubleSimilarityFunction<O> Interface for similarity functions that can provide a raw double value.
interface	PrimitiveSimilarityFunction<O,D extends Distance<?>> Interface SimilarityFunction describes the requirements of any similarity function.

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

Modifier and Type	Class and Description
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	AbstractVectorDoubleSimilarityFunction Abstract base class for double-valued primitive similarity functions.
class	FractionalSharedNearestNeighborSimilarityFunction<O> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
class	InvertedDistanceSimilarityFunction<O> Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.
class	JaccardPrimitiveSimilarityFunction<O extends FeatureVector<?>> A flexible extension of Jaccard similarity to non-binary vectors.
class	Kulczynski1SimilarityFunction Kulczynski similarity 1.
class	Kulczynski2SimilarityFunction Kulczynski similarity 2.
class	SharedNearestNeighborSimilarityFunction<O> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.

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

Modifier and Type	Method and Description
SimilarityFunction<? super T,DoubleDistance>	FractionalSharedNearestNeighborSimilarityFunction.Instance.getSimilarityFunction()
SimilarityFunction<? super O,IntegerDistance>	SharedNearestNeighborSimilarityFunction.Instance.getSimilarityFunction()

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

Modifier and Type	Class and Description
class	LaplaceKernelFunction Provides the laplace / exponential radial basis function kernel.
class	LinearKernelFunction 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.
class	RadialBasisFunctionKernelFunction Provides the Gaussian radial basis function kernel (RBF Kernel).
class	RationalQuadraticKernelFunction Provides the rational quadratic kernel, a less computational approximation of the Gaussian RBF kerne (RadialBasisFunctionKernelFunction).
class	SigmoidKernelFunction Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).