Uses of Package
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Packages that use de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel used by de.lmu.ifi.dbs.elki.algorithm.outlier

KernelFunction
Interface Kernel describes the requirements of any kernel function.

KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods for convenience.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel used by de.lmu.ifi.dbs.elki.database

KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods for convenience.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel used by de.lmu.ifi.dbs.elki.distance.distancefunction

KernelFunction
Interface Kernel describes the requirements of any kernel function.

KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods for convenience.

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

AbstractDoubleKernelFunction
Provides an abstract superclass for KernelFunctions that are based on DoubleDistance.

AbstractKernelFunction
AbstractKernelFunction provides some methods valid for any extending class.

KernelFunction
Interface Kernel describes the requirements of any kernel function.

KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods for convenience.