Uses of Package
de.lmu.ifi.dbs.elki.index.preprocessed.knn

Packages that use de.lmu.ifi.dbs.elki.index.preprocessed.knn

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms
de.lmu.ifi.dbs.elki.database.query.knn	Prepared queries for k nearest neighbor (kNN) queries
de.lmu.ifi.dbs.elki.database.query.rknn	Prepared queries for reverse k nearest neighbor (rkNN) queries
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection	Visualizers for object selection based on 2D projections

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn used by de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Class and Description
KNNChangeEvent Encapsulates information describing changes of the k nearest neighbors (kNNs) of some objects due to insertion or removal of objects.
KNNListener Listener interface invoked when the k nearest neighbors (kNNs) of some objects have been changed due to insertion or removals of objects.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn used by de.lmu.ifi.dbs.elki.database.query.knn

Class and Description
AbstractMaterializeKNNPreprocessor Abstract base class for KNN Preprocessors.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn used by de.lmu.ifi.dbs.elki.database.query.rknn

Class and Description
MaterializeKNNAndRKNNPreprocessor A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.
MaterializeKNNAndRKNNPreprocessor.Factory The parameterizable factory.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn used by de.lmu.ifi.dbs.elki.index.preprocessed.knn

Class and Description
AbstractMaterializeKNNPreprocessor Abstract base class for KNN Preprocessors.
AbstractMaterializeKNNPreprocessor.Factory The parameterizable factory.
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer Parameterization class.
CachedDoubleDistanceKNNPreprocessor Preprocessor that loads an existing cached kNN result.
CachedDoubleDistanceKNNPreprocessor.Factory The parameterizable factory.
KNNChangeEvent Encapsulates information describing changes of the k nearest neighbors (kNNs) of some objects due to insertion or removal of objects.
KNNChangeEvent.Type Available event types.
KNNJoinMaterializeKNNPreprocessor Class to materialize the kNN using a spatial join on an R-tree.
KNNJoinMaterializeKNNPreprocessor.Factory The parameterizable factory.
KNNListener Listener interface invoked when the k nearest neighbors (kNNs) of some objects have been changed due to insertion or removals of objects.
MaterializeKNNAndRKNNPreprocessor A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.
MaterializeKNNAndRKNNPreprocessor.Factory The parameterizable factory.
MaterializeKNNPreprocessor A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MaterializeKNNPreprocessor.Factory The parameterizable factory.
MaterializeKNNPreprocessor.Factory.Parameterizer Parameterization class.
MetricalIndexApproximationMaterializeKNNPreprocessor A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MetricalIndexApproximationMaterializeKNNPreprocessor.Factory The parameterizable factory.
NaiveProjectedKNNPreprocessor Compute the approximate k nearest neighbors using 1 dimensional projections.
NaiveProjectedKNNPreprocessor.Factory Index factory class
NNDescent NN-desent (also known as KNNGraph) is an approximate nearest neighbor search algorithm beginning with a random sample, then iteratively refining this sample until.
NNDescent.Factory Index factory.
PartitionApproximationMaterializeKNNPreprocessor A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
PartitionApproximationMaterializeKNNPreprocessor.Factory The parameterizable factory.
RandomSampleKNNPreprocessor Class that computed the kNN only on a random sample.
RandomSampleKNNPreprocessor.Factory The parameterizable factory.
SpacefillingKNNPreprocessor Compute the nearest neighbors approximatively using space filling curves.
SpacefillingKNNPreprocessor.Factory Index factory class
SpacefillingMaterializeKNNPreprocessor Compute the nearest neighbors approximatively using space filling curves.
SpacefillingMaterializeKNNPreprocessor.Factory Index factory class
SpatialApproximationMaterializeKNNPreprocessor A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
SpatialApproximationMaterializeKNNPreprocessor.Factory The actual preprocessor instance.
SpatialPair Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn used by de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Class and Description
AbstractMaterializeKNNPreprocessor Abstract base class for KNN Preprocessors.