AbstractMaterializeKNNPreprocessor 
Abstract base class for KNN Preprocessors.

AbstractMaterializeKNNPreprocessor.Factory 
The parameterizable factory.

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 Rtree.

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.Par 
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 
NNdescent (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.
