Uses of Interface
de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

Packages that use PrimitiveDistanceFunction

de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
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.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.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.algorithm

Fields in de.lmu.ifi.dbs.elki.algorithm declared as PrimitiveDistanceFunction

private PrimitiveDistanceFunction<? super O,D>	AbstractPrimitiveDistanceBasedAlgorithm.distanceFunction Holds the instance of the distance function specified by AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
protected PrimitiveDistanceFunction<O,D>	AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer.distanceFunction

Methods in de.lmu.ifi.dbs.elki.algorithm that return PrimitiveDistanceFunction

PrimitiveDistanceFunction<? super O,D>

AbstractPrimitiveDistanceBasedAlgorithm.getDistanceFunction() Returns the distanceFunction.

Constructors in de.lmu.ifi.dbs.elki.algorithm with parameters of type PrimitiveDistanceFunction

AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O,D> distanceFunction)
Constructor.

DependencyDerivator(PrimitiveDistanceFunction<V,D> distanceFunction, NumberFormat nf, PCAFilteredRunner<V> pca, int sampleSize, boolean randomsample)
Constructor.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type PrimitiveDistanceFunction

KMeans(PrimitiveDistanceFunction<? super V,D> distanceFunction, int k, int maxiter, Long seed)
Constructor.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial declared as PrimitiveDistanceFunction

protected PrimitiveDistanceFunction<O,D>

AbstractDistanceBasedSpatialOutlier.Parameterizer.distanceFunction The distance function to use on the non-spatial attributes.

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial with parameters of type PrimitiveDistanceFunction

SLOM(NeighborSetPredicate.Factory<N> npred, PrimitiveDistanceFunction<O,D> nonSpatialDistanceFunction)
Constructor.

SOF(NeighborSetPredicate.Factory<N> npred, PrimitiveDistanceFunction<O,D> nonSpatialDistanceFunction)
Constructor.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.database.query.distance

Fields in de.lmu.ifi.dbs.elki.database.query.distance declared as PrimitiveDistanceFunction

protected PrimitiveDistanceFunction<? super O,D>

PrimitiveDistanceQuery.distanceFunction The distance function we use.

Methods in de.lmu.ifi.dbs.elki.database.query.distance that return PrimitiveDistanceFunction

PrimitiveDistanceFunction<? super O,D>

PrimitiveDistanceQuery.getDistanceFunction()

Constructors in de.lmu.ifi.dbs.elki.database.query.distance with parameters of type PrimitiveDistanceFunction

PrimitiveDistanceQuery(Relation<? extends O> relation, PrimitiveDistanceFunction<? super O,D> distanceFunction)
Constructor.

PrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, PrimitiveDistanceFunction<? super O,D> distanceFunction, PrimitiveSimilarityFunction<? super O,D> similarityFunction)
Constructor.

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

Subinterfaces of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

interface	PrimitiveDoubleDistanceFunction<O> Interface for distance functions that can provide a raw double value.
interface	SpatialPrimitiveDistanceFunction<V extends SpatialComparable,D extends Distance<D>> API for a spatial primitive distance function.
interface	SpatialPrimitiveDoubleDistanceFunction<V extends SpatialComparable> Interface combining spatial primitive distance functions with primitive number distance functions.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement PrimitiveDistanceFunction

class	AbstractCosineDistanceFunction Abstract base class for Cosine and ArcCosine distances.
class	AbstractPrimitiveDistanceFunction<O,D extends Distance<D>> AbstractDistanceFunction provides some methods valid for any extending class.
class	AbstractVectorDoubleDistanceFunction Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.
class	ArcCosineDistanceFunction Cosine distance function for feature vectors.
class	CosineDistanceFunction Cosine distance function for feature vectors.
class	EuclideanDistanceFunction Provides the Euclidean distance for FeatureVectors.
class	LPNormDistanceFunction Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
class	MaximumDistanceFunction Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
class	MinimumDistanceFunction Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
class	SquaredEuclideanDistanceFunction Provides the squared Euclidean distance for FeatureVectors.
class	WeightedDistanceFunction Provides the Weighted distance for feature vectors.
class	WeightedLPNormDistanceFunction Weighted version of the Euclidean distance function.
class	WeightedSquaredEuclideanDistanceFunction Provides the squared Euclidean distance for FeatureVectors.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram that implement PrimitiveDistanceFunction

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 PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation that implement PrimitiveDistanceFunction

class	PearsonCorrelationDistanceFunction Pearson correlation distance function for feature vectors.
class	SquaredPearsonCorrelationDistanceFunction Squared Pearson correlation distance function for feature vectors.
class	WeightedPearsonCorrelationDistanceFunction Pearson correlation distance function for feature vectors.
class	WeightedSquaredPearsonCorrelationDistanceFunction Squared Pearson correlation distance function for feature vectors.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.geo that implement PrimitiveDistanceFunction

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 PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement PrimitiveDistanceFunction

class	AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>> Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
class	DimensionSelectingDistanceFunction Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	DimensionsSelectingEuclideanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries that implement PrimitiveDistanceFunction

class	AbstractEditDistanceFunction Provides the Edit Distance for FeatureVectors.
class	DTWDistanceFunction Provides the Dynamic Time Warping distance for FeatureVectors.
class	EDRDistanceFunction Provides the Edit Distance on Real Sequence distance for FeatureVectors.
class	ERPDistanceFunction Provides the Edit Distance With Real Penalty distance for FeatureVectors.
class	LCSSDistanceFunction Provides the Longest Common Subsequence distance for FeatureVectors.

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

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel that implement PrimitiveDistanceFunction

class	FooKernelFunction Provides an experimental KernelDistanceFunction for NumberVectors.
class	LinearKernelFunction<O extends NumberVector<?,?>> Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2.
class	PolynomialKernelFunction Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as PrimitiveDistanceFunction

private PrimitiveDistanceFunction<? super V,DoubleDistance>

WeightedCovarianceMatrixBuilder.weightDistance Holds the distance function used for weight calculation