Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
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de.lmu.ifi.dbs.elki.database.query.knn |
Prepared queries for k nearest neighbor (kNN) queries.
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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.
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de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection |
Visualizers for object selection based on 2D projections.
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Class and Description |
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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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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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Class and Description |
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AbstractMaterializeKNNPreprocessor
Abstract base class for KNN Preprocessors.
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Class and Description |
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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.
|
MaterializeKNNAndRKNNPreprocessor.Factory
The parameterizable factory.
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Class and Description |
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AbstractMaterializeKNNPreprocessor
Abstract base class for KNN Preprocessors.
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AbstractMaterializeKNNPreprocessor.Factory
The parameterizable factory.
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AbstractMaterializeKNNPreprocessor.Factory.Parameterizer
Parameterization class.
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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
|
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.
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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.
|
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.
|
Class and Description |
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AbstractMaterializeKNNPreprocessor
Abstract base class for KNN Preprocessors.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.