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

Packages that use AbstractPrimitiveDistanceFunction

Package	Description
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo	Geographic (earth) distance functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.histogram	Distance functions for one-dimensional histograms.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.
de.lmu.ifi.dbs.elki.distance.distancefunction.strings	Distance functions for strings.
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.
tutorial.distancefunction	Classes from the tutorial on implementing distance functions.

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

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

Modifier and Type	Class and Description
class	AbstractNumberVectorDistanceFunction Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.
class	AbstractNumberVectorNorm Abstract base class for double-valued number-vector-based distances based on norms.
class	AbstractSpatialDistanceFunction Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
class	AbstractSpatialNorm Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
class	ArcCosineDistanceFunction Cosine distance function for feature vectors.
class	BrayCurtisDistanceFunction Bray-Curtis distance function / Sørensen–Dice coefficient for continuous spaces.
class	CanberraDistanceFunction Canberra distance function, a variation of Manhattan distance.
class	ClarkDistanceFunction Clark distance function for vector spaces.
class	CosineDistanceFunction Cosine distance function for feature vectors.
class	Kulczynski1DistanceFunction Kulczynski similarity 1, in distance form.
class	LorentzianDistanceFunction Lorentzian distance function for vector spaces.
class	MatrixWeightedDistanceFunction Weighted distance for feature vectors.
class	WeightedCanberraDistanceFunction Weighted Canberra distance function, a variation of Manhattan distance.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Modifier and Type	Class and Description
class	HistogramIntersectionDistanceFunction Intersection distance for color histograms.
class	HSBHistogramQuadraticDistanceFunction Distance function for HSB color histograms based on a quadratic form and color similarity.
class	RGBHistogramQuadraticDistanceFunction Distance function for RGB color histograms based on a quadratic form and color similarity.

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

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

Modifier and Type	Class and Description
class	AbsolutePearsonCorrelationDistanceFunction Absolute Pearson correlation distance function for feature vectors.
class	AbsoluteUncenteredCorrelationDistanceFunction Absolute uncentered correlation distance function for feature vectors.
class	PearsonCorrelationDistanceFunction Pearson correlation distance function for feature vectors.
class	SquaredPearsonCorrelationDistanceFunction Squared Pearson correlation distance function for feature vectors.
class	SquaredUncenteredCorrelationDistanceFunction Squared uncentered correlation distance function for feature vectors.
class	UncenteredCorrelationDistanceFunction Uncentered correlation distance.
class	WeightedPearsonCorrelationDistanceFunction Pearson correlation distance function for feature vectors.
class	WeightedSquaredPearsonCorrelationDistanceFunction Squared Pearson correlation distance function for feature vectors.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo

Modifier and Type	Class and Description
class	DimensionSelectingLatLngDistanceFunction Distance function for 2D vectors in Latitude, Longitude form.
class	LatLngDistanceFunction Distance function for 2D vectors in Latitude, Longitude form.
class	LngLatDistanceFunction Distance function for 2D vectors in Longitude, Latitude form.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.histogram

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.histogram

Modifier and Type	Class and Description
class	HistogramMatchDistanceFunction Distance function based on histogram matching, i.e.
class	KolmogorovSmirnovDistanceFunction Distance function based on the Kolmogorov-Smirnov goodness of fit test.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Modifier and Type	Class and Description
class	EuclideanDistanceFunction Euclidean distance for NumberVectors.
class	LPIntegerNormDistanceFunction LP-Norm for NumberVectors, optimized version for integer values of p.
class	LPNormDistanceFunction LP-Norm for NumberVectors.
class	ManhattanDistanceFunction Manhattan distance for NumberVectors.
class	MaximumDistanceFunction Maximum distance for NumberVectors.
class	MinimumDistanceFunction Maximum distance for NumberVectors.
class	SparseEuclideanDistanceFunction Euclidean distance function, optimized for SparseNumberVectors.
class	SparseLPNormDistanceFunction LP-Norm, optimized for SparseNumberVectors.
class	SparseManhattanDistanceFunction Manhattan distance, optimized for SparseNumberVectors.
class	SparseMaximumDistanceFunction Maximum distance, optimized for SparseNumberVectors.
class	SquaredEuclideanDistanceFunction Squared Euclidean distance, optimized for SparseNumberVectors.
class	WeightedEuclideanDistanceFunction Weighted Euclidean distance for NumberVectors.
class	WeightedLPNormDistanceFunction Weighted version of the Minkowski L_p norm distance for NumberVector.
class	WeightedManhattanDistanceFunction Weighted version of the Minkowski L_p metrics distance function for NumberVectors.
class	WeightedMaximumDistanceFunction Weighted version of the Minkowski L_p metrics distance function for NumberVectors.
class	WeightedSquaredEuclideanDistanceFunction Squared Euclidean distance for NumberVectors.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Modifier and Type	Class and Description
class	ChiSquaredDistanceFunction Chi-Squared distance function, symmetric version.
class	HellingerDistanceFunction Hellinger kernel / Hellinger distance are used with SIFT vectors, and also known as Bhattacharyya distance / coefficient.
class	JeffreyDivergenceDistanceFunction Jeffrey Divergence Distance for NumberVectors.
class	JensenShannonDivergenceDistanceFunction Jensen-Shannon Divergence is essentially the same as Jeffrey divergence, only scaled by half.
class	KullbackLeiblerDivergenceAsymmetricDistanceFunction Kullback-Leibler (asymmetric!)
class	KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction Kullback-Leibler (asymmetric!)
class	SqrtJensenShannonDivergenceDistanceFunction The square root of Jensen-Shannon divergence is metric.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

Modifier and Type	Class and Description
class	AbstractSetDistanceFunction<O> Abstract base class for set distance functions.
class	HammingDistanceFunction Computes the Hamming distance of arbitrary vectors - i.e. counting, on how many places they differ.
class	JaccardSimilarityDistanceFunction<O extends FeatureVector<?>> A flexible extension of Jaccard similarity to non-binary vectors.

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.strings

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.strings

Modifier and Type	Class and Description
class	LevenshteinDistanceFunction Classic Levenshtein distance on strings.
class	NormalizedLevenshteinDistanceFunction Levenshtein distance on strings, normalized by string length.

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

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

Modifier and Type	Class and Description
class	AbstractDimensionsSelectingDistanceFunction<V extends FeatureVector<?>> Abstract base class for distances computed only in subspaces.
class	OnedimensionalDistanceFunction Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
class	SubspaceEuclideanDistanceFunction Euclidean distance function between NumberVectors only in specified dimensions.
class	SubspaceLPNormDistanceFunction LP-Norm distance function between NumberVectors only in specified dimensions.
class	SubspaceManhattanDistanceFunction Manhattan distance function between NumberVectors only in specified dimensions.
class	SubspaceMaximumDistanceFunction Maximum distance function between NumberVectors only in specified dimensions.

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

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

Modifier and Type	Class and Description
class	AbstractEditDistanceFunction Edit Distance for FeatureVectors.
class	DerivativeDTWDistanceFunction Derivative Dynamic Time Warping distance for numerical vectors.
class	DTWDistanceFunction Dynamic Time Warping distance (DTW) for numerical vectors.
class	EDRDistanceFunction Edit Distance on Real Sequence distance for numerical vectors.
class	ERPDistanceFunction Edit Distance With Real Penalty distance for numerical vectors.
class	LCSSDistanceFunction Longest Common Subsequence distance for numerical vectors.

Uses of AbstractPrimitiveDistanceFunction in tutorial.distancefunction

Subclasses of AbstractPrimitiveDistanceFunction in tutorial.distancefunction

Modifier and Type	Class and Description
class	MultiLPNorm Tutorial example for ELKI.
class	TutorialDistanceFunction Tutorial example for ELKI.