Package | Description |
---|---|
de.lmu.ifi.dbs.elki.distance.distanceresultlist |
Classes for building and storing the results of distance-based queries
The classes in this package essentially form three groups:
KNNHeap for building kNN results. |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query |
Queries on the R-Tree family of indexes: kNN and range queries.
|
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
Modifier and Type | Method and Description |
---|---|
DoubleDistanceKNNList |
DoubleDistanceKNNHeap.toKNNList()
Serialize to a
DoubleDistanceKNNList . |
Modifier and Type | Method and Description |
---|---|
DoubleDistanceKNNList |
DoubleDistanceRStarTreeKNNQuery.getKNNForDBID(DBIDRef id,
int k) |
DoubleDistanceKNNList |
DoubleDistanceRStarTreeKNNQuery.getKNNForObject(O obj,
int k) |
Modifier and Type | Method and Description |
---|---|
List<DoubleDistanceKNNList> |
DoubleDistanceRStarTreeKNNQuery.getKNNForBulkDBIDs(ArrayDBIDs ids,
int k) |
Modifier and Type | Method and Description |
---|---|
DoubleDistanceKNNList |
VAFile.VAFileKNNQuery.getKNNForObject(V query,
int k) |
DoubleDistanceKNNList |
PartialVAFile.PartialVAFileKNNQuery.getKNNForObject(V query,
int k) |
protected DoubleDistanceKNNList |
PartialVAFile.PartialVAFileKNNQuery.retrieveAccurateDistances(List<PartialVAFile.PartialVACandidate> sortedCandidates,
int k,
BitSet subspace,
V query) |