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.
|