See: Description
Interface | Description |
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KNNListener |
Listener interface invoked when the k nearest neighbors (kNNs) of some
objects have been changed due to insertion or removals of objects.
|
Class | Description |
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AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>,T extends KNNList<D>> |
Abstract base class for KNN Preprocessors.
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AbstractMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>,T extends KNNList<D>> |
The parameterizable factory.
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AbstractMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> |
Parameterization class.
|
CachedDoubleDistanceKNNPreprocessor<O> |
Preprocessor that loads an existing cached kNN result.
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CachedDoubleDistanceKNNPreprocessor.Factory<O> |
The parameterizable factory.
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CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer<O> |
Parameterization class.
|
KNNChangeEvent |
Encapsulates information describing changes of the k nearest neighbors (kNNs)
of some objects due to insertion or removal of objects.
|
KNNJoinMaterializeKNNPreprocessor<V extends NumberVector<?>,D extends Distance<D>> |
Class to materialize the kNN using a spatial join on an R-tree.
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KNNJoinMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>> |
The parameterizable factory.
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KNNJoinMaterializeKNNPreprocessor.Factory.Parameterizer<O extends NumberVector<?>,D extends Distance<D>> |
Parameterization class
|
MaterializeKNNAndRKNNPreprocessor<O,D extends Distance<D>> |
A preprocessor for annotation of the k nearest neighbors and the reverse k
nearest neighbors (and their distances) to each database object.
|
MaterializeKNNAndRKNNPreprocessor.Factory<O,D extends Distance<D>> |
The parameterizable factory.
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MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> |
Parameterization class.
|
MaterializeKNNPreprocessor<O,D extends Distance<D>> |
A preprocessor for annotation of the k nearest neighbors (and their
distances) to each database object.
|
MaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> |
The parameterizable factory.
|
MaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> |
Parameterization class.
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MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry> |
A preprocessor for annotation of the k nearest neighbors (and their
distances) to each database object.
|
MetricalIndexApproximationMaterializeKNNPreprocessor.Factory<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry> |
The parameterizable factory.
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MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry> |
Parameterization class.
|
PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>> |
A preprocessor for annotation of the k nearest neighbors (and their
distances) to each database object.
|
PartitionApproximationMaterializeKNNPreprocessor.Factory<O,D extends Distance<D>> |
The parameterizable factory.
|
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> |
Parameterization class.
|
RandomSampleKNNPreprocessor<O,D extends Distance<D>> |
Class that computed the kNN only on a random sample.
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RandomSampleKNNPreprocessor.Factory<O,D extends Distance<D>> |
The parameterizable factory.
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RandomSampleKNNPreprocessor.Factory.Parameterizer<O,D extends Distance<D>> |
Parameterization class
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SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,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.
|
SpatialApproximationMaterializeKNNPreprocessor.Factory<D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> |
The actual preprocessor instance.
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SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> |
Parameterization class.
|
Enum | Description |
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KNNChangeEvent.Type |
Available event types.
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Indexes providing KNN and rKNN data.