Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction

Packages that use AbstractDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Package collects kernel functions.

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

Subclasses of AbstractDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

class	AbstractCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends CorrelationDistance<D>> Abstract super class for correlation based distance functions.
class	AbstractDimensionsSelectingDoubleDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
class	AbstractDoubleDistanceFunction<O extends DatabaseObject> Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.
class	AbstractFloatDistanceFunction<O extends DatabaseObject> Provides a DistanceFunction that is based on FloatDistance.
class	AbstractLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
class	AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
class	CosineDistanceFunction<V extends FeatureVector<V,?>> CosineDistanceFunction for FeatureVectors.
class	DimensionSelectingDistanceFunction<N extends Number,O extends FeatureVector<O,N>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	DimensionsSelectingEuklideanDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the Euklidean distance between feature vectors only in specified dimensions.
class	DirectSupportDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	DiSHDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> Distance function used in the DiSH algorithm.
class	ERiCDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> Provides a distance function for building the hierarchiy in the ERiC algorithm.
class	EuklideanDistanceFunction<T extends NumberVector<T,?>> Provides the Euklidean distance for FeatureVectors.
class	FileBasedDoubleDistanceFunction Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
class	FileBasedFloatDistanceFunction Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.
class	FractalDimensionBasedDistanceFunction<V extends RealVector<V,?>>
class	FrequencyDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	HiSCDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> Distance function used in the HiSC algorithm.
class	KernelBasedLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> Provides a kernel based locally weighted distance function.
class	LocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> Provides a locally weighted distance function.
class	LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number> Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction<T extends NumberVector<T,?>> Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors.
class	PCABasedCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends CorrelationDistance<D>> Provides the Correlation distance for real valued vectors.
class	PreferenceVectorBasedCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>> XXX unify CorrelationDistanceFunction and VarianceDistanceFunction
class	ReciprocalSupportDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	RepresentationSelectingDistanceFunction<O extends DatabaseObject,M extends MultiRepresentedObject<O>,D extends Distance<D>> Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation.
class	SharedMaximumDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	SharedUnitedDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	SharingDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	SquareRootSupportLengthDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	SubspaceDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends SubspaceDistance<D>> Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.
class	SupportLengthDependentItemsetDistanceFunction Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.
class	WeightedDistanceFunction<O extends NumberVector<O,?>> Provides the Weighted distance for feature vectors.

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

Subclasses of AbstractDistanceFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

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 definded 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 definded by (V1^T*V2)^degree.