Uses of Class
elki.distance.AbstractNumberVectorDistance

Packages that use AbstractNumberVectorDistance

Package	Description
elki.distance	Distance functions for use within ELKI.
elki.distance.colorhistogram	Distance functions for color histograms.
elki.distance.correlation	Distance functions using correlations.
elki.distance.histogram	Distance functions for one-dimensional histograms.
elki.distance.minkowski	Minkowski space Lp norms such as the popular Euclidean and Manhattan distances.
elki.distance.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
elki.distance.subspace	Distance functions based on subspaces.
elki.distance.timeseries	Distance functions designed for time series.
elki.similarity	Similarity functions.
tutorial.distancefunction	Classes from the tutorial on implementing distance functions.

Uses of AbstractNumberVectorDistance in elki.distance

Subclasses of AbstractNumberVectorDistance in elki.distance

Modifier and Type	Class	Description
class	BrayCurtisDistance	Bray-Curtis distance function / Sørensen–Dice coefficient for continuous vector spaces (not only binary data).
class	MahalanobisDistance	Mahalanobis quadratic form distance for feature vectors.
class	MatrixWeightedQuadraticDistance	Matrix weighted quadratic distance, the squared form of MahalanobisDistance.
class	WeightedCanberraDistance	Weighted Canberra distance function, a variation of Manhattan distance.

Uses of AbstractNumberVectorDistance in elki.distance.colorhistogram

Subclasses of AbstractNumberVectorDistance in elki.distance.colorhistogram

Modifier and Type	Class	Description
class	HistogramIntersectionDistance	Intersection distance for color histograms.
class	HSBHistogramQuadraticDistance	Distance function for HSB color histograms based on a quadratic form and color similarity.
class	RGBHistogramQuadraticDistance	Distance function for RGB color histograms based on a quadratic form and color similarity.

Uses of AbstractNumberVectorDistance in elki.distance.correlation

Subclasses of AbstractNumberVectorDistance in elki.distance.correlation

Modifier and Type	Class	Description
class	AbsolutePearsonCorrelationDistance	Absolute Pearson correlation distance function for feature vectors.
class	AbsoluteUncenteredCorrelationDistance	Absolute uncentered correlation distance function for feature vectors.
class	PearsonCorrelationDistance	Pearson correlation distance function for feature vectors.
class	SquaredPearsonCorrelationDistance	Squared Pearson correlation distance function for feature vectors.
class	SquaredUncenteredCorrelationDistance	Squared uncentered correlation distance function for feature vectors.
class	UncenteredCorrelationDistance	Uncentered correlation distance.
class	WeightedPearsonCorrelationDistance	Pearson correlation distance function for feature vectors.
class	WeightedSquaredPearsonCorrelationDistance	Weighted squared Pearson correlation distance function for feature vectors.

Uses of AbstractNumberVectorDistance in elki.distance.histogram

Subclasses of AbstractNumberVectorDistance in elki.distance.histogram

Modifier and Type	Class	Description
class	HistogramMatchDistance	Distance function based on histogram matching, i.e., Manhattan distance on the cumulative density function.
class	KolmogorovSmirnovDistance	Distance function based on the Kolmogorov-Smirnov goodness of fit test.

Uses of AbstractNumberVectorDistance in elki.distance.minkowski

Subclasses of AbstractNumberVectorDistance in elki.distance.minkowski

Modifier and Type	Class	Description
class	MinimumDistance	Minimum distance for NumberVectors.
class	SquaredEuclideanDistance	Squared Euclidean distance, optimized for SparseNumberVectors.
class	WeightedSquaredEuclideanDistance	Weighted squared Euclidean distance for NumberVectors.

Uses of AbstractNumberVectorDistance in elki.distance.probabilistic

Subclasses of AbstractNumberVectorDistance in elki.distance.probabilistic

Modifier and Type	Class	Description
class	ChiDistance	χ distance function, symmetric version.
class	ChiSquaredDistance	χ² distance function, symmetric version.
class	FisherRaoDistance	Fisher-Rao riemannian metric for (discrete) probability distributions.
class	HellingerDistance	Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.
class	JeffreyDivergenceDistance	Jeffrey Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistance.
class	JensenShannonDivergenceDistance	Jensen-Shannon Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistance.
class	KullbackLeiblerDivergenceAsymmetricDistance	Kullback-Leibler divergence, also known as relative entropy, information deviation, or just KL-distance (albeit asymmetric).
class	KullbackLeiblerDivergenceReverseAsymmetricDistance	Kullback-Leibler divergence, also known as relative entropy, information deviation or just KL-distance (albeit asymmetric).
class	SqrtJensenShannonDivergenceDistance	The square root of Jensen-Shannon divergence is a metric.
class	TriangularDiscriminationDistance	Triangular Discrimination has relatively tight upper and lower bounds to the Jensen-Shannon divergence, but is much less expensive.
class	TriangularDistance	Triangular Distance has relatively tight upper and lower bounds to the (square root of the) Jensen-Shannon divergence, but is much less expensive.

Uses of AbstractNumberVectorDistance in elki.distance.subspace

Subclasses of AbstractNumberVectorDistance in elki.distance.subspace

Modifier and Type	Class	Description
class	OnedimensionalDistance	Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.

Uses of AbstractNumberVectorDistance in elki.distance.timeseries

Subclasses of AbstractNumberVectorDistance in elki.distance.timeseries

Modifier and Type	Class	Description
class	AbstractEditDistance	Edit Distance for FeatureVectors.
class	DerivativeDTWDistance	Derivative Dynamic Time Warping distance for numerical vectors.
class	DTWDistance	Dynamic Time Warping distance (DTW) for numerical vectors.
class	EDRDistance	Edit Distance on Real Sequence distance for numerical vectors.
class	ERPDistance	Edit Distance With Real Penalty distance for numerical vectors.
class	LCSSDistance	Longest Common Subsequence distance for numerical vectors.

Uses of AbstractNumberVectorDistance in elki.similarity

Subclasses of AbstractNumberVectorDistance in elki.similarity

Modifier and Type	Class	Description
class	Kulczynski1Similarity	Kulczynski similarity 1.

Uses of AbstractNumberVectorDistance in tutorial.distancefunction

Subclasses of AbstractNumberVectorDistance in tutorial.distancefunction

Modifier and Type	Class	Description
class	MultiLPNorm	Tutorial example Minowski-distance variation with different exponents for different dimensions for ELKI.
class	TutorialDistance	Tutorial distance function example for ELKI.