Class Summary |
AbstractAlgorithm<O extends DatabaseObject,R extends Result> |
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 quantitatively linear dependencies among
attributes of a given dataset based on a linear correlation PCA. |
DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>,R extends Result> |
Provides an abstract algorithm already setting the distance function. |
DummyAlgorithm<V extends NumberVector<V,?>> |
Dummy Algorithm, which just iterates over all points once, doing a 10NN query each. |
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. |
MaterializeDistances<V extends RealVector<V,?>,D extends NumberDistance<D,N>,N extends Number> |
Algorithm to materialize all the distances in a data set. |
NullAlgorithm<V extends NumberVector<V,?>> |
Null Algorithm, which does nothing. |