Uses of Interface
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelFunction

Packages that use KernelFunction

de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.

Uses of KernelFunction in de.lmu.ifi.dbs.elki.algorithm.outlier

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

(package private) KernelFunction<V,DoubleDistance>

ABOD.kernelFunction Store the configured Kernel version

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type KernelFunction

private ClassParameter<KernelFunction<V,DoubleDistance>>

ABOD.KERNEL_FUNCTION_PARAM Parameter for Kernel function.

Uses of KernelFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as KernelFunction

private KernelFunction<V,DoubleDistance>

KernelBasedLocallyWeightedDistanceFunction.kernelFunction The kernel function that is used.

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type KernelFunction

(package private) ClassParameter<KernelFunction<V,DoubleDistance>>

KernelBasedLocallyWeightedDistanceFunction.KERNEL_FUNCTION_PARAM Parameter for the kernel function

Uses of KernelFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

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

class	AbstractDoubleKernelFunction<O extends DatabaseObject> Provides an abstract superclass for KernelFunctions that are based on DoubleDistance.
class	AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>> AbstractKernelFunction provides some methods valid for any extending class.
class	ArbitraryKernelFunctionWrapper<O extends RealVector<O,?>> Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.
class	FooKernelFunction<O extends FeatureVector<?,?>> Provides an experimental KernelDistanceFunction for RealVectors.
class	LinearKernelFunction<O extends FeatureVector<O,?>> Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
class	PolynomialKernelFunction<O extends FeatureVector<O,?>> 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 KernelFunction

KernelMatrix(KernelFunction<O,DoubleDistance> kernelFunction, Database<O> database)
Provides a new kernel matrix.

KernelMatrix(KernelFunction<O,DoubleDistance> kernelFunction, Database<O> database, List<Integer> ids)
Provides a new kernel matrix.