Uses of Class
de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

Packages that use MaterializeKNNPreprocessor

de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.preprocessing	Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.

Uses of MaterializeKNNPreprocessor in de.lmu.ifi.dbs.elki.algorithm.outlier

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as MaterializeKNNPreprocessor

(package private) MaterializeKNNPreprocessor<O,DoubleDistance>	LDOF.knnPreprocessor Preprocessor for materialization of kNN queries.
(package private) MaterializeKNNPreprocessor<O,D>	LOF.preprocessor1 Preprocessor Step 1
(package private) MaterializeKNNPreprocessor<O,D>	LOF.preprocessor2 Preprocessor Step 2
(package private) MaterializeKNNPreprocessor<O,DoubleDistance>	LoOP.preprocessorcompare Preprocessor Step 1
(package private) MaterializeKNNPreprocessor<O,DoubleDistance>	LoOP.preprocessorref Preprocessor Step 2

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type MaterializeKNNPreprocessor

private ClassParameter<MaterializeKNNPreprocessor<O,DoubleDistance>>

LoOP.PREPROCESSOR_PARAM The preprocessor used to materialize the kNN neighborhoods.

Uses of MaterializeKNNPreprocessor in de.lmu.ifi.dbs.elki.preprocessing

Subclasses of MaterializeKNNPreprocessor in de.lmu.ifi.dbs.elki.preprocessing

class

SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector<O,?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.