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

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

de.lmu.ifi.dbs.elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
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.correlation	Correlation clustering algorithms
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.evaluation	Functionality for the evaluation of algorithms.

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

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

DistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

DistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

KNNJoin
Joins in a given spatial database to each object its k-nearest neighbors.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

DistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.

DistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

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

AbstractAlgorithm
AbstractAlgorithm sets the values for flags verbose and time.

Algorithm
Specifies the requirements for any algorithm that is to be executable by the main class.