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

Algorithms suitable as a task for the KDDTask main routine.

See:
Description

Interface Summary

Algorithm

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

Class Summary

AbstractAlgorithm<R extends Result>	This class serves also as a model of implementing an algorithm within this framework.
AbstractDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result>	Provides an abstract algorithm already setting the distance function.
AbstractDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>>	Parameterization helper class.
AbstractPrimitiveDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result>	Provides an abstract algorithm already setting the distance function.
AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<O,D extends Distance<D>>	Parameterization helper class.
APRIORI	Provides the APRIORI algorithm for Mining Association Rules.
APRIORI.Parameterizer	Parameterization class.
DependencyDerivator<V extends NumberVector<V,?>,D extends Distance<D>>	Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.
DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>	Parameterization class.
DummyAlgorithm<O extends NumberVector<?,?>>	Dummy Algorithm, which just iterates over all points once, doing a 10NN query each.
KNNDistanceOrder<O,D extends Distance<D>>	Provides an order of the kNN-distances for all objects within the database.
KNNDistanceOrder.Parameterizer<O,D extends Distance<D>>	Parameterization class.
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.
KNNJoin.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry>	Parameterization class.
MaterializeDistances<O,D extends NumberDistance<D,?>>	Algorithm to materialize all the distances in a data set.
MaterializeDistances.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
NullAlgorithm	Null Algorithm, which does nothing.

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

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.