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

Packages that use PrimitiveDistanceFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
de.lmu.ifi.dbs.elki.application.greedyensemble	Greedy ensembles for outlier detection.
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances
de.lmu.ifi.dbs.elki.database.query.knn	Prepared queries for k nearest neighbor (kNN) queries
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries, that return all objects within the radius ε
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations
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 Lp 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, F-divergence, χ²-divergence, etc.
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 Note that some regular distance functions (e.g., Euclidean) are also used on time series.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster	Similarity measures for comparing clusters.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing
tutorial.distancefunction	Classes from the tutorial on implementing distance functions

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

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

Modifier and Type	Field and Description
protected PrimitiveDistanceFunction<? super O>	AbstractPrimitiveDistanceBasedAlgorithm.distanceFunction Holds the instance of the distance function specified by DistanceBasedAlgorithm.DISTANCE_FUNCTION_ID.
protected PrimitiveDistanceFunction<O>	AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer.distanceFunction Distance function to use.

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

Modifier and Type	Method and Description
PrimitiveDistanceFunction<? super O>	AbstractPrimitiveDistanceBasedAlgorithm.getDistanceFunction() Returns the distanceFunction.

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

Constructor and Description
AbstractPrimitiveDistanceBasedAlgorithm(PrimitiveDistanceFunction<? super O> distanceFunction) Constructor.

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

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

Modifier and Type	Method and Description
private void	SLINK.step2primitive(DBIDRef id, DBIDArrayIter it, int n, Relation<? extends O> relation, PrimitiveDistanceFunction<? super O> distFunc, WritableDoubleDataStore m) Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

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

Modifier and Type	Field and Description
protected PrimitiveDistanceFunction<O>	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

Constructor and Description
SLOM(NeighborSetPredicate.Factory<N> npred, PrimitiveDistanceFunction<O> nonSpatialDistanceFunction) Constructor.
SOF(NeighborSetPredicate.Factory<N> npred, PrimitiveDistanceFunction<O> nonSpatialDistanceFunction) Constructor.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with parameters of type PrimitiveDistanceFunction

Modifier and Type	Method and Description
private DoubleDBIDList	OUTRES.initialRange(DBIDRef obj, DBIDs cands, PrimitiveDistanceFunction<? super NumberVector> df, double eps, OUTRES.KernelDensityEstimator kernel, ModifiableDoubleDBIDList n) Initial range query.
private DoubleDBIDList	OUTRES.subsetNeighborhoodQuery(DoubleDBIDList neighc, DBIDRef dbid, PrimitiveDistanceFunction<? super NumberVector> df, double adjustedEps, OUTRES.KernelDensityEstimator kernel, ModifiableDoubleDBIDList n) Refine neighbors within a subset.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.application.greedyensemble

Methods in de.lmu.ifi.dbs.elki.application.greedyensemble that return PrimitiveDistanceFunction

Modifier and Type	Method and Description
private PrimitiveDistanceFunction<NumberVector>	GreedyEnsembleExperiment.getDistanceFunction(double[] estimated_weights)

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

Modifier and Type	Field and Description
protected PrimitiveDistanceFunction<? super O>	PrimitiveDistanceQuery.distanceFunction The distance function we use.

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

Modifier and Type	Method and Description
PrimitiveDistanceFunction<? super O>	PrimitiveDistanceQuery.getDistanceFunction()

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

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

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

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

Modifier and Type	Field and Description
private PrimitiveDistanceFunction<? super O>	LinearScanPrimitiveDistanceKNNQuery.rawdist Unboxed distance function.

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

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

Modifier and Type	Field and Description
private PrimitiveDistanceFunction<? super O>	LinearScanPrimitiveDistanceRangeQuery.rawdist Unboxed distance function.

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.datasource.filter.transform

Fields in de.lmu.ifi.dbs.elki.datasource.filter.transform declared as PrimitiveDistanceFunction

Modifier and Type	Field and Description
(package private) PrimitiveDistanceFunction<? super I>	FastMultidimensionalScalingTransform.dist Distance function to use.
(package private) PrimitiveDistanceFunction<? super I>	FastMultidimensionalScalingTransform.Parameterizer.dist Distance function to use.
(package private) PrimitiveDistanceFunction<? super I>	ClassicMultidimensionalScalingTransform.dist Distance function to use.
(package private) PrimitiveDistanceFunction<? super I>	ClassicMultidimensionalScalingTransform.Parameterizer.dist Distance function to use.

Methods in de.lmu.ifi.dbs.elki.datasource.filter.transform with parameters of type PrimitiveDistanceFunction

Modifier and Type	Method and Description
protected static <I> double[][]	ClassicMultidimensionalScalingTransform.computeSquaredDistanceMatrix(java.util.List<I> col, PrimitiveDistanceFunction<? super I> dist) Compute the squared distance matrix.

Constructors in de.lmu.ifi.dbs.elki.datasource.filter.transform with parameters of type PrimitiveDistanceFunction

Constructor and Description
ClassicMultidimensionalScalingTransform(int tdim, PrimitiveDistanceFunction<? super I> dist, NumberVector.Factory<O> factory) Constructor.
FastMultidimensionalScalingTransform(int tdim, PrimitiveDistanceFunction<? super I> dist, NumberVector.Factory<O> factory, RandomFactory random) Constructor.

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

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

Modifier and Type	Interface and Description
interface	Norm<O> Abstract interface for a mathematical norm.
interface	NumberVectorDistanceFunction<O> Base interface for the common case of distance functions defined on numerical vectors.
interface	SpatialPrimitiveDistanceFunction<V extends SpatialComparable> API for a spatial primitive distance function.
interface	WeightedNumberVectorDistanceFunction<V> Distance functions where each dimension is assigned a weight.

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

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	ArcCosineDistanceFunction Arcus cosine distance function for feature vectors.
class	ArcCosineUnitlengthDistanceFunction Arcus cosine distance function for feature vectors.
class	BrayCurtisDistanceFunction Bray-Curtis distance function / Sørensen–Dice coefficient for continuous vector spaces (not only binary data).
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	CosineUnitlengthDistanceFunction Cosine distance function for unit length feature vectors.
class	MahalanobisDistanceFunction Mahalanobis quadratic form distance for feature vectors.
class	MatrixWeightedQuadraticDistanceFunction Matrix weighted quadratic distance, the squared form of MahalanobisDistanceFunction.
class	WeightedCanberraDistanceFunction Weighted Canberra distance function, a variation of Manhattan distance.

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

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

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

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 Weighted 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

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

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

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

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

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

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 (Minkowski norms) are a family of distances for NumberVectors.
class	ManhattanDistanceFunction Manhattan distance for NumberVectors.
class	MaximumDistanceFunction Maximum distance for NumberVectors.
class	MinimumDistanceFunction Minimum 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	SparseSquaredEuclideanDistanceFunction Squared Euclidean distance function, 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 Lp norm distance for NumberVector.
class	WeightedManhattanDistanceFunction Weighted version of the Manhattan (L1) metric.
class	WeightedMaximumDistanceFunction Weighted version of the maximum distance function for NumberVectors.
class	WeightedSquaredEuclideanDistanceFunction Weighted squared Euclidean distance for NumberVectors.

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

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

Modifier and Type	Class and Description
class	ChiDistanceFunction χ distance function, symmetric version.
class	ChiSquaredDistanceFunction χ² distance function, symmetric version.
class	FisherRaoDistanceFunction Fisher-Rao riemannian metric for (discrete) probability distributions.
class	HellingerDistanceFunction Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.
class	JeffreyDivergenceDistanceFunction Jeffrey Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistanceFunction.
class	JensenShannonDivergenceDistanceFunction Jensen-Shannon Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistanceFunction.
class	KullbackLeiblerDivergenceAsymmetricDistanceFunction Kullback-Leibler divergence, also known as relative entropy, information deviation, or just KL-distance (albeit asymmetric).
class	KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction Kullback-Leibler divergence, also known as relative entropy, information deviation or just KL-distance (albeit asymmetric).
class	SqrtJensenShannonDivergenceDistanceFunction The square root of Jensen-Shannon divergence is a metric.
class	TriangularDiscriminationDistanceFunction Triangular Discrimination has relatively tight upper and lower bounds to the Jensen-Shannon divergence, but is much less expensive.
class	TriangularDistanceFunction 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 PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.set

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

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 A flexible extension of Jaccard similarity to non-binary vectors.

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

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

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

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

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

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

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 PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction

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

Modifier and Type	Class and Description
class	Kulczynski1SimilarityFunction Kulczynski similarity 1.

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

Modifier and Type	Field and Description
protected PrimitiveDistanceFunction<? super O>	InvertedDistanceSimilarityFunction.distanceFunction Holds the similarity function.

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

Subinterfaces of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster

Modifier and Type	Interface and Description
interface	ClusteringDistanceSimilarityFunction Distance and similarity measure for clusterings.

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

Modifier and Type	Class and Description
class	ClusteringAdjustedRandIndexSimilarityFunction Measure the similarity of clusters via the Adjusted Rand Index.
class	ClusteringBCubedF1SimilarityFunction Measure the similarity of clusters via the BCubed F1 Index.
class	ClusteringFowlkesMallowsSimilarityFunction Measure the similarity of clusters via the Fowlkes-Mallows Index.
class	ClusteringRandIndexSimilarityFunction Measure the similarity of clusters via the Rand Index.
class	ClusterIntersectionSimilarityFunction Measure the similarity of clusters via the intersection size.
class	ClusterJaccardSimilarityFunction Measure the similarity of clusters via the Jaccard coefficient.

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

Modifier and Type	Class and Description
class	LinearKernelFunction Linear Kernel function that computes a similarity between the two feature vectors x and y defined by \(x^T\cdot y\).
class	PolynomialKernelFunction Polynomial Kernel function that computes a similarity between the two feature vectors x and y defined by \((x^T\cdot y+b)^{\text{degree}}\).

Uses of PrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.evaluation.clustering.internal

Fields in de.lmu.ifi.dbs.elki.evaluation.clustering.internal declared as PrimitiveDistanceFunction

Modifier and Type	Field and Description
private PrimitiveDistanceFunction<NumberVector>	EvaluateConcordantPairs.Parameterizer.distance Distance function to use.
private PrimitiveDistanceFunction<? super NumberVector>	EvaluateConcordantPairs.distanceFunction Distance function to use.

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

Constructor and Description
EvaluateConcordantPairs(PrimitiveDistanceFunction<? super NumberVector> distance, NoiseHandling noiseHandling) Constructor.

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

Modifier and Type	Field and Description
private PrimitiveDistanceFunction<? super NumberVector>	WeightedCovarianceMatrixBuilder.weightDistance Holds the distance function used for weight calculation.

Uses of PrimitiveDistanceFunction in tutorial.distancefunction

Classes in tutorial.distancefunction that implement PrimitiveDistanceFunction

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