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.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
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.database.relation	Relations, materialized and virtual (views)
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from, e.g., similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster	Similarity measures for comparing clusters.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.index	Index structure implementations
de.lmu.ifi.dbs.elki.index.distancematrix	Precomputed distance matrix.

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>	SimilarityBasedInitializationWithMedian.similarity Similarity function.
(package private) SimilarityFunction<? super O>	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> similarity, double quantile) Constructor.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

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

Modifier and Type	Field and Description
protected SimilarityFunction<O>	SimilarityNeighborPredicate.Parameterizer.distfun Similarity function to use
protected SimilarityFunction<? super O>	SimilarityNeighborPredicate.distFunc Distance function to use

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

Constructor and Description
SimilarityNeighborPredicate(double epsilon, SimilarityFunction<? super O> distFunc) Full constructor.

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

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

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

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

Constructor and Description
ABOD(SimilarityFunction<? super V> kernelFunction) Constructor for Angle-Based Outlier Detection (ABOD).
FastABOD(SimilarityFunction<? super V> kernelFunction, int k) Constructor for Angle-Based Outlier Detection (ABOD).
LBABOD(SimilarityFunction<? super V> 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>	SOD.similarityFunction Similarity function to use.
private SimilarityFunction<V>	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> 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> SimilarityQuery<O>	QueryUtil.getSimilarityQuery(Database database, SimilarityFunction<? super O> similarityFunction, java.lang.Object... hints) Get a similarity query, automatically choosing a relation.
<O> SimilarityQuery<O>	Database.getSimilarityQuery(Relation<O> relation, SimilarityFunction<? super O> similarityFunction, java.lang.Object... hints) Get the similarity query for a particular similarity function.
<O> SimilarityQuery<O>	AbstractDatabase.getSimilarityQuery(Relation<O> objQuery, SimilarityFunction<? super O> similarityFunction, java.lang.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>	SimilarityQuery.getSimilarityFunction() Get the inner similarity function.

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

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

Modifier and Type	Method and Description
SimilarityQuery<O>	Relation.getSimilarityQuery(SimilarityFunction<? super O> similarityFunction, java.lang.Object... hints) Get the similarity query for a particular similarity function.
SimilarityQuery<O>	AbstractRelation.getSimilarityQuery(SimilarityFunction<? super O> similarityFunction, java.lang.Object... hints)
default RangeQuery<O>	Relation.getSimilarityRangeQuery(SimilarityFunction<? super O> simFunction, java.lang.Object... hints) Get a range query object for the given similarity query.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with type parameters of type SimilarityFunction

Modifier and Type	Class and Description
static class	AbstractSimilarityAdapter.Parameterizer<O,S extends SimilarityFunction<? super O>> Parameterization class.

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

Modifier and Type	Field and Description
protected SimilarityFunction<? super O>	AbstractSimilarityAdapter.similarityFunction Holds the similarity function.
protected S	AbstractSimilarityAdapter.Parameterizer.similarityFunction Holds the similarity function.

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with type parameters of type SimilarityFunction

Modifier and Type	Field and Description
protected java.lang.Class<SimilarityFunction<? super O>>	AbstractSimilarityAdapter.Parameterizer.ARBITRARY_SIMILARITY Arbitrary Similarity functions

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

Constructor and Description
AbstractSimilarityAdapter(SimilarityFunction<? super O> similarityFunction) Constructor.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

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

Modifier and Type	Class and Description
class	HellingerDistanceFunction Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

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

Modifier and Type	Class and Description
class	JaccardSimilarityDistanceFunction A flexible extension of Jaccard similarity to non-binary vectors.

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 Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs.
interface	IndexBasedSimilarityFunction<O> 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	PrimitiveSimilarityFunction<O> 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 Abstract super class for distance functions needing a preprocessor.
class	AbstractIndexBasedSimilarityFunction<O,F extends IndexFactory<O>> Abstract super class for distance functions needing a preprocessor.
class	AbstractVectorSimilarityFunction 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	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>	FractionalSharedNearestNeighborSimilarityFunction.Instance.getSimilarityFunction()
SimilarityFunction<? super O>	SharedNearestNeighborSimilarityFunction.Instance.getSimilarityFunction()

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

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

Modifier and Type	Interface and Description
interface	ClusteringDistanceSimilarityFunction Distance and similarity measure for clusterings.

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

Modifier and Type	Class and Description
class	ClusteringAdjustedRandIndexSimilarityFunction Measure the similarity of clusters via the Adjusted Rand Index.
class	ClusteringBCubedF1SimilarityFunction Measure the similarity of clusters via the BCubed F1 Index.
class	ClusteringFowlkesMallowsSimilarityFunction Measure the similarity of clusters via the Fowlkes-Mallows Index.
class	ClusteringRandIndexSimilarityFunction Measure the similarity of clusters via the Rand Index.
class	ClusterIntersectionSimilarityFunction Measure the similarity of clusters via the intersection size.
class	ClusterJaccardSimilarityFunction Measure the similarity of clusters via the Jaccard coefficient.

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 Laplace / exponential radial basis function kernel.
class	LinearKernelFunction Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).
class	PolynomialKernelFunction Polynomial Kernel function that computes a similarity between the two feature vectors x and y defined by \((x^T\cdot y+b)^{\text{degree}}\).
class	RadialBasisFunctionKernelFunction Gaussian radial basis function kernel (RBF Kernel).
class	RationalQuadraticKernelFunction Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernelFunction).
class	SigmoidKernelFunction Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).

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

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

Modifier and Type	Method and Description
SimilarityQuery<O>	SimilarityIndex.getSimilarityQuery(SimilarityFunction<? super O> simFunction, java.lang.Object... hints) Get a similarity query object for the given similarity function.

Uses of SimilarityFunction in de.lmu.ifi.dbs.elki.index.distancematrix

Fields in de.lmu.ifi.dbs.elki.index.distancematrix declared as SimilarityFunction

Modifier and Type	Field and Description
protected SimilarityFunction<? super O>	PrecomputedSimilarityMatrix.similarityFunction Nested similarity function.
protected SimilarityFunction<? super O>	PrecomputedSimilarityMatrix.Factory.similarityFunction Nested similarity function.
protected SimilarityFunction<? super O>	PrecomputedSimilarityMatrix.Factory.Parameterizer.similarityFunction Nested similarity function.

Methods in de.lmu.ifi.dbs.elki.index.distancematrix that return SimilarityFunction

Modifier and Type	Method and Description
SimilarityFunction<? super O>	PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery.getSimilarityFunction()

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

Modifier and Type	Method and Description
SimilarityQuery<O>	PrecomputedSimilarityMatrix.getSimilarityQuery(SimilarityFunction<? super O> similarityFunction, java.lang.Object... hints)

Constructors in de.lmu.ifi.dbs.elki.index.distancematrix with parameters of type SimilarityFunction

Constructor and Description
Factory(SimilarityFunction<? super O> similarityFunction) Constructor.
PrecomputedSimilarityMatrix(Relation<O> relation, SimilarityFunction<? super O> similarityFunction) Constructor.