Class Summary Class Description DependencyDerivator<V extends NumberVector>Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA. DependencyDerivator.Par<V extends NumberVector>Parameterization class. KNNDistancesSampler<O>Provides an order of the kNN-distances for all objects within the database. KNNDistancesSampler.KNNDistanceOrderResultCurve result for a list containing the knn distances. KNNDistancesSampler.Par<O>Parameterization class. KNNJoinJoins in a given spatial database to each object its k-nearest neighbors. KNNJoin.ParParameterization class. KNNJoin.TaskTask in the processing queue. NullAlgorithmNull algorithm, which does nothing.