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