| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.index.preprocessed.knn | 
 Indexes providing KNN and rKNN data. 
 | 
| de.lmu.ifi.dbs.elki.index.preprocessed.localpca | 
 Index using a preprocessed local PCA 
 | 
| de.lmu.ifi.dbs.elki.index.preprocessed.preference | 
 Indexes storing preference vectors 
 | 
| de.lmu.ifi.dbs.elki.index.preprocessed.snn | 
 Indexes providing nearest neighbor sets 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractMaterializeKNNPreprocessor<O>
Abstract base class for KNN Preprocessors. 
 | 
class  | 
CachedDoubleDistanceKNNPreprocessor<O>
Preprocessor that loads an existing cached kNN result. 
 | 
class  | 
KNNJoinMaterializeKNNPreprocessor<V extends NumberVector>
Class to materialize the kNN using a spatial join on an R-tree. 
 | 
class  | 
MaterializeKNNAndRKNNPreprocessor<O>
A preprocessor for annotation of the k nearest neighbors and the reverse k
 nearest neighbors (and their distances) to each database object. 
 | 
class  | 
MaterializeKNNPreprocessor<O>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
class  | 
MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector,N extends Node<E>,E extends MTreeEntry>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
class  | 
NNDescent<O>
NN-desent (also known as KNNGraph) is an approximate nearest neighbor search
 algorithm beginning with a random sample, then iteratively refining this
 sample until. 
 | 
class  | 
PartitionApproximationMaterializeKNNPreprocessor<O>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
class  | 
RandomSampleKNNPreprocessor<O>
Class that computed the kNN only on a random sample. 
 | 
class  | 
SpacefillingMaterializeKNNPreprocessor<O extends NumberVector>
Compute the nearest neighbors approximatively using space filling curves. 
 | 
class  | 
SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector,N extends SpatialNode<N,E>,E extends SpatialEntry>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractFilteredPCAIndex<NV extends NumberVector>
Abstract base class for a local PCA based index. 
 | 
class  | 
KNNQueryFilteredPCAIndex<NV extends NumberVector>
Provides the local neighborhood to be considered in the PCA as the k nearest
 neighbors of an object. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractPreferenceVectorIndex<NV extends NumberVector>
Abstract base class for preference vector based algorithms. 
 | 
class  | 
DiSHPreferenceVectorIndex<V extends NumberVector>
Preprocessor for DiSH preference vector assignment to objects of a certain
 database. 
 | 
class  | 
HiSCPreferenceVectorIndex<V extends NumberVector>
Preprocessor for HiSC preference vector assignment to objects of a certain
 database. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
SharedNearestNeighborPreprocessor<O>
A preprocessor for annotation of the ids of nearest neighbors to each
 database object. 
 | 
Copyright © 2019 ELKI Development Team. License information.