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

Packages that use PrimitiveSimilarityFunction

Package	Description
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries, that return all objects within the radius ε
de.lmu.ifi.dbs.elki.database.query.similarity	Prepared queries for similarity functions
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.

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

Fields in de.lmu.ifi.dbs.elki.database.query.distance declared as PrimitiveSimilarityFunction

Modifier and Type	Field and Description
private PrimitiveSimilarityFunction<? super O>	PrimitiveDistanceSimilarityQuery.similarityFunction Typed reference to the similarity function (usually the same as the distance function!)
private PrimitiveSimilarityFunction<? super O>	SpatialPrimitiveDistanceSimilarityQuery.similarityFunction Typed reference to the similarity function (usually the same as the distance function!)

Methods in de.lmu.ifi.dbs.elki.database.query.distance that return PrimitiveSimilarityFunction

Modifier and Type	Method and Description
PrimitiveSimilarityFunction<? super O>	PrimitiveDistanceSimilarityQuery.getSimilarityFunction()
PrimitiveSimilarityFunction<? super O>	SpatialPrimitiveDistanceSimilarityQuery.getSimilarityFunction()

Constructors in de.lmu.ifi.dbs.elki.database.query.distance with parameters of type PrimitiveSimilarityFunction

Constructor and Description
PrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, PrimitiveDistanceFunction<? super O> distanceFunction, PrimitiveSimilarityFunction<? super O> similarityFunction) Constructor.
SpatialPrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, SpatialPrimitiveDistanceFunction<? super O> distanceFunction, PrimitiveSimilarityFunction<? super O> similarityFunction) Constructor.

Uses of PrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.database.query.range

Fields in de.lmu.ifi.dbs.elki.database.query.range declared as PrimitiveSimilarityFunction

Modifier and Type	Field and Description
private PrimitiveSimilarityFunction<? super O>	LinearScanPrimitiveSimilarityRangeQuery.rawsim Unboxed similarity function.

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

Fields in de.lmu.ifi.dbs.elki.database.query.similarity declared as PrimitiveSimilarityFunction

Modifier and Type	Field and Description
protected PrimitiveSimilarityFunction<? super O>	PrimitiveSimilarityQuery.similarityFunction The distance function we use.

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

Modifier and Type	Method and Description
PrimitiveSimilarityFunction<? super O>	PrimitiveSimilarityQuery.getSimilarityFunction()

Constructors in de.lmu.ifi.dbs.elki.database.query.similarity with parameters of type PrimitiveSimilarityFunction

Constructor and Description
PrimitiveSimilarityQuery(Relation<? extends O> relation, PrimitiveSimilarityFunction<? super O> similarityFunction) Constructor.

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

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

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 PrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

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

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

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

Subinterfaces of PrimitiveSimilarityFunction 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	NormalizedPrimitiveSimilarityFunction<O> Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.

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

Modifier and Type	Class and Description
class	AbstractDBIDSimilarityFunction Abstract super class for distance functions needing a preprocessor.
class	AbstractVectorSimilarityFunction Abstract base class for double-valued primitive similarity functions.
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.

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

Subinterfaces of PrimitiveSimilarityFunction 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 PrimitiveSimilarityFunction

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 PrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

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

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).

Constructors in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with parameters of type PrimitiveSimilarityFunction

Constructor and Description
KernelMatrix(PrimitiveSimilarityFunction<? super O> kernelFunction, Relation<? extends O> relation, DBIDs ids) Provides a new kernel matrix.