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

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

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	Package collects distances and - in its subpackages - distance and similarity functions.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Package collects similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Package collects kernel functions.
de.lmu.ifi.dbs.elki.index.tree	Package collects variants of tree-based index structures.
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.mkapp	Package collects classes for the MkAppTree
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.metrical.mtreevariants.mtree	Package collects classes for the MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util	Package collects helper classes for the variants of the M-Tree.
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	Package collects various classes and methods of global utility.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

IntegerDistance

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

DoubleDistance
Provides a Distance for a double-valued distance.

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

DoubleDistance
Provides a Distance for a double-valued distance.

PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

DoubleDistance
Provides a Distance for a double-valued distance.

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

AbstractDistance
An abstract distance implements equals conveniently for any extending class.

BitDistance
TODO arthur comment

CorrelationDistance
The CorrelationDistance is a special Distance that indicates the dissimilarity between correlation connected objects.

Distance
The interface Distance defines the requirements of any instance class.

DoubleDistance
Provides a Distance for a double-valued distance.

FloatDistance
Provides a Distance for a float-valued distance.

IntegerDistance

MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

NumberDistance
Provides a Distance for a number-valued distance.

PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.

SubspaceDistance
The SubspaceDistance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality.

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

AbstractMeasurementFunction
Abstract Measurement Function provides some methods valid for any extending class.

BitDistance
TODO arthur comment

CorrelationDistance
The CorrelationDistance is a special Distance that indicates the dissimilarity between correlation connected objects.

Distance
The interface Distance defines the requirements of any instance class.

DoubleDistance
Provides a Distance for a double-valued distance.

FloatDistance
Provides a Distance for a float-valued distance.

MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.

SubspaceDistance
The SubspaceDistance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality.

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

AbstractMeasurementFunction
Abstract Measurement Function provides some methods valid for any extending class.

Distance
The interface Distance defines the requirements of any instance class.

IntegerDistance

MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

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

AbstractMeasurementFunction
Abstract Measurement Function provides some methods valid for any extending class.

Distance
The interface Distance defines the requirements of any instance class.

DoubleDistance
Provides a Distance for a double-valued distance.

MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

NumberDistance
Provides a Distance for a number-valued distance.

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

NumberDistance
Provides a Distance for a number-valued distance.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

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

Distance
The interface Distance defines the requirements of any instance class.

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

Distance
The interface Distance defines the requirements of any instance class.

NumberDistance
Provides a Distance for a number-valued distance.

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

Distance
The interface Distance defines the requirements of any instance class.

NumberDistance
Provides a Distance for a number-valued distance.

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

Distance
The interface Distance defines the requirements of any instance class.

DoubleDistance
Provides a Distance for a double-valued distance.

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

Distance
The interface Distance defines the requirements of any instance class.