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

Packages that use PrimitiveSimilarityFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
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 PrimitiveSimilarityFunction in de.lmu.ifi.dbs.elki.algorithm.outlier

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

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

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

Constructor and Description
ABOD(int k, int sampleSize, PrimitiveSimilarityFunction<? super V,DoubleDistance> primitiveKernelFunction, DistanceFunction<V,DoubleDistance> distanceFunction) Actual constructor, with parameters.
ABOD(int k, PrimitiveSimilarityFunction<? super V,DoubleDistance> primitiveKernelFunction, DistanceFunction<V,DoubleDistance> distanceFunction) Actual constructor, with parameters.

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,D>	PrimitiveDistanceSimilarityQuery.similarityFunction Typed reference to the similarity function (usually the same as the distance function!)

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,D> distanceFunction, PrimitiveSimilarityFunction<? super O,D> similarityFunction) Constructor.

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,D>	PrimitiveSimilarityQuery.similarityFunction The distance function we use.

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,D> similarityFunction) Constructor.

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	NormalizedPrimitiveSimilarityFunction<O,D extends Distance<D>> 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<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	InvertedDistanceSimilarityFunction<O> Adapter to use a primitive number-distance as similarity measure, by computing 1/distance.

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	FooKernelFunction Provides an experimental KernelDistanceFunction for NumberVectors.
class	LinearKernelFunction<O extends NumberVector<?>> 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.

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

Constructor and Description
KernelMatrix(PrimitiveSimilarityFunction<? super O,DoubleDistance> kernelFunction, Relation<? extends O> database) Deprecated. ID mapping is not reliable!
KernelMatrix(PrimitiveSimilarityFunction<? super O,DoubleDistance> kernelFunction, Relation<? extends O> database, ArrayDBIDs ids) Provides a new kernel matrix.