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

Packages that use PrimitiveSimilarityFunction

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

private PrimitiveSimilarityFunction<? super V,DoubleDistance>	ABOD.primitiveKernelFunction Store the configured Kernel version
protected PrimitiveSimilarityFunction<V,DoubleDistance>	ABOD.Parameterizer.primitiveKernelFunction

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

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

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

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

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

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

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

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.

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

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

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.