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	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.result	Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Package collects kernel functions.
de.lmu.ifi.dbs.elki.index.tree.metrical	Package collects metrical tree-based index structures.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	Package collects variants of the M-Tree.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop	Package collects classes for the MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax	Package collects classes for the MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab	Package collects classes for the MkTabTree
de.lmu.ifi.dbs.elki.index.tree.spatial	Package collects spatial tree-based index structures.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants	Package collects variants of the R*-Tree.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	Package collects classes for the RdKNNTree
de.lmu.ifi.dbs.elki.parser	Package collects parser for different file formats and data types.
de.lmu.ifi.dbs.elki.preprocessing	Package collects preprocessors used for data preparation in a first step of various algorithms or distance 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

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

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

ERiCDistanceFunction
Provides a distance function for building the hierarchiy in the ERiC algorithm.

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

DiSHDistanceFunction
Distance function used in the DiSH algorithm.

EuklideanDistanceFunction
Provides the Euklidean distance for FeatureVectors.

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

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.result.clustering

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

AbstractCorrelationDistanceFunction
Abstract super class for correlation based distance functions.

AbstractDimensionsSelectingDoubleDistanceFunction
Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

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.

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

AbstractPreprocessorBasedDistanceFunction
Abstract super class for distance functions needing a preprocessor.

DistanceFunction
Interface DistanceFunction describes the requirements of any distance function.

EuklideanDistanceFunction
Provides the Euklidean distance for FeatureVectors.

FrequencyDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.

PreferenceVectorBasedCorrelationDistanceFunction
XXX unify CorrelationDistanceFunction and VarianceDistanceFunction

SharingDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits.

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.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.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.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.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.index.tree.spatial.rstarvariants

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.rstarvariants.rdknn

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

DimensionSelectingDistanceFunction
Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.

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.