Uses of Package
de.lmu.ifi.dbs.elki.distance.distancefunction

Packages that use de.lmu.ifi.dbs.elki.distance.distancefunction

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.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
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.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
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.index.tree.metrical	Tree-based index structures for metrical vector spaces.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split	Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
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.
de.lmu.ifi.dbs.elki.preprocessing	Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints	Constraints allow to restrict possible values for parameters.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.clustering

LocallyWeightedDistanceFunction
Provides a locally weighted distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

EuclideanDistanceFunction
Provides the Euclidean distance for NumberVectors.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.outlier

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.statistics

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.application.cache

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.application.visualization

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.database

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDoubleDistanceFunction
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

AbstractLocallyWeightedDistanceFunction
Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDoubleDistanceFunction
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractPreprocessorBasedDistanceFunction
Abstract super class for distance functions needing a preprocessor.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.external

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDoubleDistanceFunction
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

AbstractFloatDistanceFunction
Provides a DistanceFunction that is based on FloatDistance.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDoubleDistanceFunction
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

AbstractPreprocessorBasedDistanceFunction
Abstract super class for distance functions needing a preprocessor.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

AbstractDoubleDistanceFunction
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

AbstractDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.spatial

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.math.linearalgebra.pca

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.parser

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.preprocessing

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.