Uses of Interface
elki.similarity.PrimitiveSimilarity

Packages that use PrimitiveSimilarity

Package	Description
elki.clustering.svm
elki.database.query.distance	Prepared queries for distances.
elki.database.query.similarity	Prepared queries for similarity functions.
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.outlier.svm	Support-Vector-Machines for outlier detection.
elki.similarity	Similarity functions.
elki.similarity.cluster	Similarity measures for comparing clusters.
elki.similarity.kernel	Kernel functions.

Uses of PrimitiveSimilarity in elki.clustering.svm

Fields in elki.clustering.svm declared as PrimitiveSimilarity

Modifier and Type	Field	Description
(package private) PrimitiveSimilarity<? super NumberVector>	SupportVectorClustering.kernel	Kernel function.
protected PrimitiveSimilarity<? super NumberVector>	SupportVectorClustering.Par.kernel	Kernel in use.

Constructors in elki.clustering.svm with parameters of type PrimitiveSimilarity

Constructor	Description
SupportVectorClustering(PrimitiveSimilarity<? super NumberVector> kernel, double C)	Constructor.

Uses of PrimitiveSimilarity in elki.database.query.distance

Fields in elki.database.query.distance declared as PrimitiveSimilarity

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

Methods in elki.database.query.distance that return PrimitiveSimilarity

Modifier and Type	Method	Description
PrimitiveSimilarity<? super O>	PrimitiveDistanceSimilarityQuery.getSimilarity()
PrimitiveSimilarity<? super O>	SpatialPrimitiveDistanceSimilarityQuery.getSimilarity()

Constructors in elki.database.query.distance with parameters of type PrimitiveSimilarity

Constructor	Description
PrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, PrimitiveDistance<? super O> distanceFunction, PrimitiveSimilarity<? super O> similarityFunction)	Constructor.
SpatialPrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, SpatialPrimitiveDistance<? super O> distanceFunction, PrimitiveSimilarity<? super O> similarityFunction)	Constructor.

Uses of PrimitiveSimilarity in elki.database.query.similarity

Fields in elki.database.query.similarity declared as PrimitiveSimilarity

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

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

Modifier and Type	Method	Description
PrimitiveSimilarity<? super O>	PrimitiveSimilarityQuery.getSimilarity()

Constructors in elki.database.query.similarity with parameters of type PrimitiveSimilarity

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

Uses of PrimitiveSimilarity in elki.distance.probabilistic

Classes in elki.distance.probabilistic that implement PrimitiveSimilarity

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 PrimitiveSimilarity in elki.distance.set

Classes in elki.distance.set that implement PrimitiveSimilarity

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

Uses of PrimitiveSimilarity in elki.outlier.svm

Fields in elki.outlier.svm declared as PrimitiveSimilarity

Modifier and Type	Field	Description
(package private) PrimitiveSimilarity<? super V>	OCSVM.kernel	Kernel function.
protected PrimitiveSimilarity<? super V>	OCSVM.Par.kernel	Kernel in use.
(package private) PrimitiveSimilarity<? super V>	SVDD.kernel	Kernel function.
protected PrimitiveSimilarity<? super V>	SVDD.Par.kernel	Kernel in use.

Constructors in elki.outlier.svm with parameters of type PrimitiveSimilarity

Constructor	Description
OCSVM(PrimitiveSimilarity<? super V> kernel, double nu)	Constructor.
SVDD(PrimitiveSimilarity<? super V> kernel, double C)	Constructor.

Uses of PrimitiveSimilarity in elki.similarity

Subinterfaces of PrimitiveSimilarity in elki.similarity

Modifier and Type	Interface	Description
interface	DBIDSimilarity	Interface DBIDSimilarity describes the requirements of any similarity function defined over object IDs.
interface	NormalizedPrimitiveSimilarity<O>	Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.

Classes in elki.similarity that implement PrimitiveSimilarity

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

Uses of PrimitiveSimilarity in elki.similarity.cluster

Subinterfaces of PrimitiveSimilarity in elki.similarity.cluster

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

Classes in elki.similarity.cluster that implement PrimitiveSimilarity

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 PrimitiveSimilarity in elki.similarity.kernel

Classes in elki.similarity.kernel that implement PrimitiveSimilarity

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).

Constructors in elki.similarity.kernel with parameters of type PrimitiveSimilarity

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