| 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.
|
| 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.
|
| Class and Description |
|---|
| AbstractMaterializeKNNPreprocessor
Abstract base class for KNN Preprocessors.
|
| AbstractMaterializeKNNPreprocessor.Factory
The parameterizable factory.
|
| 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.
|
| 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.
|
| 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.
|
| SpatialApproximationMaterializeKNNPreprocessor
A preprocessor for annotation of the k nearest neighbors (and their
distances) to each database object.
|
| SpatialApproximationMaterializeKNNPreprocessor.Factory
The actual preprocessor instance.
|
| Class and Description |
|---|
| AbstractMaterializeKNNPreprocessor
Abstract base class for KNN Preprocessors.
|