KDDTask
main routine.See: Description
| Interface | Description |
|---|---|
| Algorithm |
Specifies the requirements for any algorithm that is to be executable by the
main class.
|
| DistanceBasedAlgorithm<O> |
Very broad interface for distance based algorithms.
|
| Class | Description |
|---|---|
| AbstractAlgorithm<R extends Result> |
This class serves also as a model of implementing an algorithm within this
framework.
|
| AbstractDistanceBasedAlgorithm<O,R extends Result> |
Abstract base class for distance-based algorithms.
|
| AbstractDistanceBasedAlgorithm.Parameterizer<O> |
Parameterization helper class.
|
| AbstractNumberVectorDistanceBasedAlgorithm<O,R extends Result> |
Abstract base class for distance-based algorithms that need to work with
synthetic numerical vectors such as mean vectors.
|
| AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<O> |
Parameterization helper class.
|
| AbstractPrimitiveDistanceBasedAlgorithm<O,R extends Result> |
Abstract base class for distance-based algorithms that need to work with
synthetic objects such as mean vectors.
|
| AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<O> |
Parameterization helper class.
|
| DependencyDerivator<V extends NumberVector> |
Dependency derivator computes quantitatively linear dependencies among
attributes of a given dataset based on a linear correlation PCA.
|
| DependencyDerivator.Parameterizer<V extends NumberVector> |
Parameterization class.
|
| DummyAlgorithm<O extends NumberVector> |
Dummy algorithm, which just iterates over all points once, doing a 10NN query
each.
|
| KNNDistancesSampler<O> |
Provides an order of the kNN-distances for all objects within the database.
|
| KNNDistancesSampler.KNNDistanceOrderResult |
Curve result for a list containing the knn distances.
|
| KNNDistancesSampler.Parameterizer<O> |
Parameterization class.
|
| KNNJoin<V extends NumberVector,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,N extends SpatialNode<N,E>,E extends SpatialEntry> |
Parameterization class.
|
| NullAlgorithm |
Null Algorithm, which does nothing.
|
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.
Copyright © 2019 ELKI Development Team. License information.