| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.index.lsh | 
 Locality Sensitive Hashing 
 | 
| de.lmu.ifi.dbs.elki.index.preprocessed.knn | 
 Indexes providing KNN and rKNN data. 
 | 
| de.lmu.ifi.dbs.elki.index.projected | 
 Projected indexes for data. 
 | 
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | |
| de.lmu.ifi.dbs.elki.index.tree.spatial.kd | 
 K-d-tree and variants. 
 | 
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu | |
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar | |
| de.lmu.ifi.dbs.elki.index.vafile | 
 Vector Approximation File 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
InMemoryLSHIndex.Instance
Instance of a LSH index for a single relation. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>,T extends KNNList<D>>
Abstract base class for KNN Preprocessors. 
 | 
class  | 
CachedDoubleDistanceKNNPreprocessor<O>
Preprocessor that loads an existing cached kNN result. 
 | 
class  | 
KNNJoinMaterializeKNNPreprocessor<V extends NumberVector<?>,D extends Distance<D>>
Class to materialize the kNN using a spatial join on an R-tree. 
 | 
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. 
 | 
class  | 
MaterializeKNNPreprocessor<O,D extends Distance<D>>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
class  | 
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. 
 | 
class  | 
PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>>
A preprocessor for annotation of the k nearest neighbors (and their
 distances) to each database object. 
 | 
class  | 
RandomSampleKNNPreprocessor<O,D extends Distance<D>>
Class that computed the kNN only on a random sample. 
 | 
class  | 
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. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
LatLngAsECEFIndex<O extends NumberVector<?>>
Index a 2d data set (consisting of Lat/Lng pairs) by using a projection to 3D
 coordinates (WGS-86 to ECEF). 
 | 
class  | 
LngLatAsECEFIndex<O extends NumberVector<?>>
Index a 2d data set (consisting of Lng/Lat pairs) by using a projection to 3D
 coordinates (WGS-86 to ECEF). 
 | 
class  | 
ProjectedIndex<O,I>
Class to index data in an arbitrary projection only. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MkAppTreeIndex<O,D extends NumberDistance<D,?>>
MkAppTree used as database index. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MkCoPTreeIndex<O,D extends NumberDistance<D,?>>
MkCoPTree used as database index. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MkMaxTreeIndex<O,D extends NumberDistance<D,?>>
MkMax tree 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MkTabTreeIndex<O,D extends NumberDistance<D,?>>
MkTabTree used as database index. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MTreeIndex<O,D extends NumberDistance<D,?>>
Class for using an m-tree as database index. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MinimalisticMemoryKDTree<O extends NumberVector<?>>
Simple implementation of a static in-memory K-D-tree. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
DeLiCluTreeIndex<O extends NumberVector<?>>
The common use of the DeLiClu tree: indexing number vectors. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
RStarTreeIndex<O extends NumberVector<?>>
The common use of the rstar tree: indexing number vectors. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
PartialVAFile<V extends NumberVector<?>>
PartialVAFile. 
 | 
class  | 
VAFile<V extends NumberVector<?>>
Vector-approximation file (VAFile)
 
 Reference:
 
 Weber, R. and Blott, S. 
 |