| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.index.idistance |
iDistance is a distance based indexing technique, using a reference points embedding.
|
| de.lmu.ifi.dbs.elki.index.lsh |
Locality Sensitive Hashing
|
| de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
| Modifier and Type | Class and Description |
|---|---|
protected class |
InMemoryIDistanceIndex.IDistanceKNNQuery
kNN query implementation.
|
| Modifier and Type | Class and Description |
|---|---|
protected class |
InMemoryLSHIndex.Instance.LSHKNNQuery
Class for handling kNN queries against the LSH index.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PartialVAFile.PartialVAFileKNNQuery
KNN query for this index.
|
class |
VAFile.VAFileKNNQuery
KNN query for this index.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.