Uses of Interface
elki.similarity.Similarity

Packages that use Similarity

Package	Description
elki.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.database.query	Database queries - computing distances, neighbors, similarities - API and general documentation.
elki.database.query.similarity	Prepared queries for similarity functions.
elki.distance.adapter	Distance functions deriving distances from, e.g., similarity measures.
elki.distance.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
elki.distance.set	Distance functions for binary and set type data.
elki.index	Index structure implementations.
elki.index.distancematrix	Precomputed distance matrix.
elki.outlier.anglebased	Angle-based outlier detection algorithms.
elki.outlier.subspace	Subspace outlier detection methods.
elki.similarity	Similarity functions.
elki.similarity.cluster	Similarity measures for comparing clusters.
elki.similarity.kernel	Kernel functions.

Uses of Similarity in elki.clustering.affinitypropagation

Fields in elki.clustering.affinitypropagation declared as Similarity

Modifier and Type	Field	Description
(package private) Similarity<? super O>	SimilarityBasedInitializationWithMedian.Par.similarity	Similarity function.
(package private) Similarity<? super O>	SimilarityBasedInitializationWithMedian.similarity	Similarity function.

Constructors in elki.clustering.affinitypropagation with parameters of type Similarity

Constructor	Description
SimilarityBasedInitializationWithMedian(Similarity<? super O> similarity, double quantile)	Constructor.

Uses of Similarity in elki.clustering.dbscan.predicates

Fields in elki.clustering.dbscan.predicates declared as Similarity

Modifier and Type	Field	Description
protected Similarity<O>	SimilarityNeighborPredicate.Par.distfun	Similarity function to use
protected Similarity<? super O>	SimilarityNeighborPredicate.simFunc	Similarity function to use

Constructors in elki.clustering.dbscan.predicates with parameters of type Similarity

Constructor	Description
SimilarityNeighborPredicate(double epsilon, Similarity<? super O> simFunc)	Full constructor.

Uses of Similarity in elki.database.query

Fields in elki.database.query declared as Similarity

Modifier and Type	Field	Description
private Similarity<? super O>	QueryBuilder.similarity	Similarity to query

Methods in elki.database.query with parameters of type Similarity

Modifier and Type	Method	Description
default <O> SimilarityQuery<O>	QueryOptimizer.getSimilarityQuery(Relation<? extends O> relation, Similarity<? super O> similarityFunction, int flags)	Optimize a similarity query for this relation.

Constructors in elki.database.query with parameters of type Similarity

Constructor	Description
QueryBuilder(Relation<O> relation, Similarity<? super O> similarity)	Constructor.

Uses of Similarity in elki.database.query.similarity

Methods in elki.database.query.similarity that return Similarity

Modifier and Type	Method	Description
Similarity<? super O>	SimilarityQuery.getSimilarity()	Get the inner similarity function.

Uses of Similarity in elki.distance.adapter

Classes in elki.distance.adapter with type parameters of type Similarity

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

Fields in elki.distance.adapter declared as Similarity

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

Fields in elki.distance.adapter with type parameters of type Similarity

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

Constructors in elki.distance.adapter with parameters of type Similarity

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

Uses of Similarity in elki.distance.probabilistic

Classes in elki.distance.probabilistic that implement Similarity

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

Uses of Similarity in elki.distance.set

Classes in elki.distance.set that implement Similarity

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

Uses of Similarity in elki.index

Methods in elki.index with parameters of type Similarity

Modifier and Type	Method	Description
SimilarityQuery<O>	SimilarityIndex.getSimilarityQuery(Similarity<? super O> simFunction)	Get a similarity query object for the given similarity function.

Uses of Similarity in elki.index.distancematrix

Fields in elki.index.distancematrix declared as Similarity

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

Methods in elki.index.distancematrix that return Similarity

Modifier and Type	Method	Description
Similarity<? super O>	PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery.getSimilarity()

Methods in elki.index.distancematrix with parameters of type Similarity

Modifier and Type	Method	Description
SimilarityQuery<O>	PrecomputedSimilarityMatrix.getSimilarityQuery(Similarity<? super O> similarityFunction)

Constructors in elki.index.distancematrix with parameters of type Similarity

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

Uses of Similarity in elki.outlier.anglebased

Fields in elki.outlier.anglebased declared as Similarity

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

Constructors in elki.outlier.anglebased with parameters of type Similarity

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

Uses of Similarity in elki.outlier.subspace

Fields in elki.outlier.subspace declared as Similarity

Modifier and Type	Field	Description
private Similarity<V>	SOD.Par.similarityFunction	The similarity function.
private Similarity<V>	SOD.similarityFunction	Similarity function to use.

Constructors in elki.outlier.subspace with parameters of type Similarity

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

Uses of Similarity in elki.similarity

Subinterfaces of Similarity in elki.similarity

Modifier and Type	Interface	Description
interface	DBIDSimilarity	Interface DBIDSimilarity describes the requirements of any similarity function defined over object IDs.
interface	IndexBasedSimilarity<O>	Interface for preprocessor/index based similarity functions.
interface	NormalizedPrimitiveSimilarity<O>	Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.
interface	NormalizedSimilarity<O>	Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
interface	PrimitiveSimilarity<O>	Interface Similarity describes the requirements of any similarity function.

Classes in elki.similarity that implement Similarity

Modifier and Type	Class	Description
class	AbstractDBIDSimilarity	Abstract super class for distance functions needing a preprocessor.
class	AbstractIndexBasedSimilarity<O,F extends IndexFactory<O>>	Abstract super class for distance functions needing a preprocessor.
class	AbstractVectorSimilarity	Abstract base class for double-valued primitive similarity functions.
class	FractionalSharedNearestNeighborSimilarity<O>	SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.
class	InvertedDistanceSimilarity<O>	Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.
class	Kulczynski1Similarity	Kulczynski similarity 1.
class	Kulczynski2Similarity	Kulczynski similarity 2.
class	SharedNearestNeighborSimilarity<O>	SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.

Methods in elki.similarity that return Similarity

Modifier and Type	Method	Description
Similarity<? super T>	FractionalSharedNearestNeighborSimilarity.Instance.getSimilarity()
Similarity<? super O>	SharedNearestNeighborSimilarity.Instance.getSimilarity()

Uses of Similarity in elki.similarity.cluster

Subinterfaces of Similarity in elki.similarity.cluster

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

Classes in elki.similarity.cluster that implement Similarity

Modifier and Type	Class	Description
class	ClusteringAdjustedRandIndexSimilarity	Measure the similarity of clusters via the Adjusted Rand Index.
class	ClusteringBCubedF1Similarity	Measure the similarity of clusters via the BCubed F1 Index.
class	ClusteringFowlkesMallowsSimilarity	Measure the similarity of clusters via the Fowlkes-Mallows Index.
class	ClusteringRandIndexSimilarity	Measure the similarity of clusters via the Rand Index.
class	ClusterIntersectionSimilarity	Measure the similarity of clusters via the intersection size.
class	ClusterJaccardSimilarity	Measure the similarity of clusters via the Jaccard coefficient.

Uses of Similarity in elki.similarity.kernel

Classes in elki.similarity.kernel that implement Similarity

Modifier and Type	Class	Description
class	LaplaceKernel	Laplace / exponential radial basis function kernel.
class	LinearKernel	Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).
class	PolynomialKernel	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	RadialBasisFunctionKernel	Gaussian radial basis function kernel (RBF Kernel).
class	RationalQuadraticKernel	Rational quadratic kernel, a less computational approximation of the Gaussian RBF kernel (RadialBasisFunctionKernel).
class	SigmoidKernel	Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).