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

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

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.benchmark	Benchmarking pseudo algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering	Biclustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional	Clustering algorithms for one-dimensional data.
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.lof	LOF family of 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.subspace	Subspace outlier detection methods.
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
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.
tutorial.outlier

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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.
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.
KNNJoin.Task Task in the processing queue.
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.benchmark

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.
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.affinitypropagation

Class and Description
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.clustering.biclustering

Class and Description
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.clustering.correlation

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.clustering.hierarchical

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.clustering.subspace

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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

Class and Description
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.
DependencyDerivator Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.trivial

Class and Description
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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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 tutorial.clustering

Class and Description
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.
Algorithm Specifies the requirements for any algorithm that is to be executable by the main class.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.

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

Class and Description
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.
DistanceBasedAlgorithm Very broad interface for distance based algorithms.