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

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

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.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
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.workflow	Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM

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

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

AbstractPrimitiveDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

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

APRIORI
Provides the APRIORI algorithm for Mining Association Rules.

DependencyDerivator
Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.

KNNDistanceOrder
Provides an order of the kNN-distances for all objects within the database.

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

MaterializeDistances
Algorithm to materialize all the distances in a data set.

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

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

AbstractPrimitiveDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

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

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
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

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
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

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.trivial

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

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
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

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.meta

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

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.spatial

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

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.trivial

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

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.statistics

AbstractAlgorithm
This class serves also as a model of implementing an algorithm within this framework.

AbstractDistanceBasedAlgorithm
Provides an abstract algorithm already setting the distance function.

AbstractDistanceBasedAlgorithm.Parameterizer
Parameterization helper class.

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.workflow

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