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

Package to collect algorithms suitable as a task for the KDDTask main routine.

See:
Description

Interface Summary

Algorithm<O extends DatabaseObject>

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

Class Summary

AbstractAlgorithm<O extends DatabaseObject>	AbstractAlgorithm sets the values for flags verbose and time.
APRIORI	Provides the APRIORI algorithm for Mining Association Rules.
DependencyDerivator<V extends RealVector<V,?>,D extends Distance<D>>	Dependency derivator computes quantitativly linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>>	Provides an abstract algorithm already setting the distance function.
KNNDistanceOrder<O extends DatabaseObject,D extends Distance<D>>	Provides an order of the kNN-distances for all objects within the database.
KNNJoin<V extends NumberVector<V,?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry>	Joins in a given spatial database to each object its k-nearest neighbors.

Exception Summary

AbortException

Exception for aborting some process and transporting a message.

Package de.lmu.ifi.dbs.elki.algorithm Description

Package to collect algorithms suitable as a task for the KDDTask main routine.

The KDDTask main routine expects an algorithm to implement the Algorithm-Interface. Basic functions are already provided within AbstractAlgorithm, see there for basic instructions of how to implement an algorithm suitable to the framework.