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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  Axisparallel 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 axisparallel 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 CRISPDM 
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 kNNdistances for all objects within the database. 

KNNJoin
Joins in a given spatial database to each object its knearest 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 knearest 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. 



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