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

Packages that use AbstractDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries	Distance functions designed for time series.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	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	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	ArcCosineDistanceFunction<V extends FeatureVector<V,?>> Cosine distance function for feature vectors.
class	CosineDistanceFunction<V extends FeatureVector<V,?>> Cosine distance function for feature vectors.
class	EuclideanDistanceFunction<V extends NumberVector<V,?>> Provides the Euclidean distance for NumberVectors.
class	KernelBasedLocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> Provides a kernel based locally weighted distance function.
class	LocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> Provides a locally weighted distance function.
class	LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number> Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction<V extends NumberVector<V,?>> Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors.
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	WeightedDistanceFunction<V extends NumberVector<V,?>> Provides the Weighted distance for feature vectors.

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

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

class	SimilarityAdapterAbstract<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function.
class	SimilarityAdapterArccos<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using arccos(sim).
class	SimilarityAdapterLinear<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using 1 - sim.
class	SimilarityAdapterLn<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using -log(sim).

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

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

class	AbstractCorrelationDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>> Abstract super class for correlation based distance functions.
class	AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Abstract super class for all preference vector based correlation distance functions.
class	ERiCDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> Provides a distance function for building the hierarchiy in the ERiC algorithm.
class	PCABasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends HiCOPreprocessor<V>,D extends CorrelationDistance<D>> Provides the correlation distance for real valued vectors.

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

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

class	DiskCacheBasedDoubleDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
class	DiskCacheBasedFloatDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.
class	FileBasedDoubleDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
class	FileBasedFloatDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.

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

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

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	DimensionSelectingDistanceFunction<N extends Number,V extends FeatureVector<V,N>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	DiSHDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the DiSH algorithm.
class	HiSCDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the HiSC algorithm.
class	SubspaceDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>> 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.

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

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

class	AbstractEditDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance for NumberVectors.
class	DTWDistanceFunction<V extends NumberVector<V,?>> Provides the Dynamic Time Warping distance for NumberVectors.
class	EDRDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance on Real Sequence distance for NumberVectors.
class	ERPDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance With Real Penalty distance for NumberVectors.
class	LCSSDistanceFunction<V extends NumberVector<V,?>> Provides the Longest Common Subsequence distance for NumberVectors.

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 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.