Uses of Class
de.lmu.ifi.dbs.elki.distance.NumberDistance

Packages that use NumberDistance

de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.application.cache	Utility applications for the persistence layer such as distance cache builders.
de.lmu.ifi.dbs.elki.application.visualization	Visualization applications in ELKI.
de.lmu.ifi.dbs.elki.distance	Distances and (in subpackages) distance functions and similarity functions.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.parser	Parsers for different file formats and data types.

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

Classes in de.lmu.ifi.dbs.elki.algorithm with type parameters of type NumberDistance

class

MaterializeDistances<V extends RealVector<V,?>,D extends NumberDistance<D,N>,N extends Number> Algorithm to materialize all the distances in a data set.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.algorithm.outlier

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type NumberDistance

class	LOCI<O extends DatabaseObject,D extends NumberDistance<D,?>> Fast Outlier Detection Using the "Local Correlation Integral".
class	LOF<O extends DatabaseObject,D extends NumberDistance<D,?>> Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k).

Uses of NumberDistance in de.lmu.ifi.dbs.elki.algorithm.statistics

Classes in de.lmu.ifi.dbs.elki.algorithm.statistics with type parameters of type NumberDistance

class	DistanceStatisticsWithClasses<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Algorithm to gather statistics over the distance distribution in the data set.
class	EvaluateRankingQuality<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Evaluate a distance function with respect to kNN queries.
class	RankingQualityHistogram<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Evaluate a distance function with respect to kNN queries.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.application.cache

Classes in de.lmu.ifi.dbs.elki.application.cache with type parameters of type NumberDistance

class	CacheDoubleDistanceInOnDiskMatrix<O extends DatabaseObject,N extends NumberDistance<N,D>,D extends Number> Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.
class	CacheFloatDistanceInOnDiskMatrix<O extends DatabaseObject,N extends NumberDistance<N,D>,D extends Number> Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.application.visualization

Classes in de.lmu.ifi.dbs.elki.application.visualization with type parameters of type NumberDistance

class

KNNExplorer<O extends NumberVector<O,?>,N extends NumberDistance<N,D>,D extends Number> User application to explore the k Nearest Neighbors for a given data set and distance function.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.distance

Classes in de.lmu.ifi.dbs.elki.distance with type parameters of type NumberDistance

class

NumberDistance<D extends NumberDistance<D,N>,N extends Number> Provides a Distance for a number-valued distance.

Subclasses of NumberDistance in de.lmu.ifi.dbs.elki.distance

class	BitDistance Provides a Distance for a bit-valued distance.
class	DoubleDistance Provides a Distance for a double-valued distance.
class	FloatDistance Provides a Distance for a float-valued distance.
class	IntegerDistance

Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with type parameters of type NumberDistance

(package private) class	MkAppDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a directory node of a MkApp-Tree.
(package private) interface	MkAppEntry<D extends NumberDistance<D,N>,N extends Number> Defines the requirements for an entry in an MkCop-Tree node.
(package private) class	MkAppLeafEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a leaf node of a MkApp-Tree.
class	MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
(package private) class	MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Represents a node in an MkApp-Tree.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type NumberDistance

(package private) class	MkCoPDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a directory node of an MkCop-Tree.
(package private) interface	MkCoPEntry<D extends NumberDistance<D,N>,N extends Number> Defines the requirements for an entry in an MkCop-Tree node.
(package private) class	MkCoPLeafEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a leaf node of a MkCoP-Tree.
class	MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
(package private) class	MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Represents a node in an MkCop-Tree.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type NumberDistance

<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> D

ApproximationLine.getApproximatedKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the approximated knn-distance at the specified k.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn with type parameters of type NumberDistance

class	RdKNNDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a directory node of an RdKNN-Tree.
(package private) interface	RdKNNEntry<D extends NumberDistance<D,N>,N extends Number> Defines the requirements for an entry in an RdKNN-Tree node.
class	RdKNNLeafEntry<D extends NumberDistance<D,N>,N extends Number> Represents an entry in a leaf node of an RdKNN-Tree.
class	RdKNNNode<D extends NumberDistance<D,N>,N extends Number> Represents a node in a RDkNN-Tree.
class	RdKNNTree<O extends NumberVector<O,?>,D extends NumberDistance<D,N>,N extends Number> RDkNNTree is a spatial index structure based on the concepts of the R*-Tree supporting efficient processing of reverse k nearest neighbor queries.

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn declared as NumberDistance

private D	RdKNNLeafEntry.knnDistance The knn distance of the underlying data object.
private D	RdKNNDirectoryEntry.knnDistance The aggregated knn distance of this entry.

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

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type NumberDistance

class	CovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Abstract class with the task of computing a Covariance matrix to be used in PCA.
class	KernelCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Kernel Covariance Matrix Builder.
class	PCAFilteredRunner<V extends RealVector<V,?>,D extends NumberDistance<D,?>> PCA runner that will do dimensionality reduction.
class	PCARunner<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Class to run PCA on given data.
class	StandardCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> Class for building a "traditional" covariance matrix.
class	WeightedCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>> CovarianceMatrixBuilder with weights.

Uses of NumberDistance in de.lmu.ifi.dbs.elki.parser

Classes in de.lmu.ifi.dbs.elki.parser with type parameters of type NumberDistance

class

NumberDistanceParser<D extends NumberDistance<D,N>,N extends Number> Provides a parser for parsing one distance value per line.