Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
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de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
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de.lmu.ifi.dbs.elki.database.query.rknn |
Prepared queries for reverse k nearest neighbor (rkNN) queries.
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de.lmu.ifi.dbs.elki.index |
Index structure implementations
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de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
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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.query |
Classes for performing queries (knn, range, ...) on metrical trees.
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Modifier and Type | Field and Description |
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private RKNNQuery<O,D> |
LOF.LOFResult.rkNNReach
The rkNN query w.r.t. the reachability distance.
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private RKNNQuery<O,D> |
LOF.LOFResult.rkNNRefer
The RkNN query w.r.t. the reference neighborhood distance.
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Modifier and Type | Method and Description |
---|---|
RKNNQuery<O,D> |
LOF.LOFResult.getRkNNReach()
Get the RkNN query for the reachability set.
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RKNNQuery<O,D> |
LOF.LOFResult.getRkNNRefer()
Get the RkNN query for the reference set.
|
Modifier and Type | Method and Description |
---|---|
private Pair<Pair<KNNQuery<O,D>,KNNQuery<O,D>>,Pair<RKNNQuery<O,D>,RKNNQuery<O,D>>> |
OnlineLOF.getKNNAndRkNNQueries(Relation<O> relation,
StepProgress stepprog)
Get the kNN and rkNN queries for the algorithm.
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private Pair<Pair<KNNQuery<O,D>,KNNQuery<O,D>>,Pair<RKNNQuery<O,D>,RKNNQuery<O,D>>> |
OnlineLOF.getKNNAndRkNNQueries(Relation<O> relation,
StepProgress stepprog)
Get the kNN and rkNN queries for the algorithm.
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Modifier and Type | Method and Description |
---|---|
void |
LOF.LOFResult.setRkNNReach(RKNNQuery<O,D> rkNNReach)
Sets the RkNN query w.r.t. the reachability distance.
|
void |
LOF.LOFResult.setRkNNRefer(RKNNQuery<O,D> rkNNRefer)
Sets the RkNN query w.r.t. the reference neighborhood distance.
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Modifier and Type | Method and Description |
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<O,D extends Distance<D>> |
AbstractDatabase.getRKNNQuery(DistanceQuery<O,D> distanceQuery,
Object... hints) |
<O,D extends Distance<D>> |
Database.getRKNNQuery(DistanceQuery<O,D> distanceQuery,
Object... hints)
Get a rKNN query object for the given distance query.
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static <O,D extends Distance<D>> |
QueryUtil.getRKNNQuery(Relation<O> relation,
DistanceFunction<? super O,D> distanceFunction,
Object... hints)
Get a rKNN query object for the given distance function.
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Modifier and Type | Class and Description |
---|---|
class |
AbstractRKNNQuery<O,D extends Distance<D>>
Instance for the query on a particular database.
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class |
LinearScanRKNNQuery<O,D extends Distance<D>>
Default linear scan RKNN query class.
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class |
PreprocessorRKNNQuery<O,D extends Distance<D>>
Instance for a particular database, invoking the preprocessor.
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Modifier and Type | Method and Description |
---|---|
<D extends Distance<D>> |
RKNNIndex.getRKNNQuery(DistanceQuery<O,D> distanceQuery,
Object... hints)
Get a KNN query object for the given distance query and k.
|
Modifier and Type | Method and Description |
---|---|
<S extends Distance<S>> |
MaterializeKNNAndRKNNPreprocessor.getRKNNQuery(DistanceQuery<O,S> distanceQuery,
Object... hints) |
Modifier and Type | Method and Description |
---|---|
<S extends Distance<S>> |
MkAppTreeIndex.getRKNNQuery(DistanceQuery<O,S> distanceQuery,
Object... hints) |
Modifier and Type | Method and Description |
---|---|
<S extends Distance<S>> |
MkCoPTreeIndex.getRKNNQuery(DistanceQuery<O,S> distanceQuery,
Object... hints) |
Modifier and Type | Method and Description |
---|---|
<S extends Distance<S>> |
MkMaxTreeIndex.getRKNNQuery(DistanceQuery<O,S> distanceQuery,
Object... hints) |
Modifier and Type | Method and Description |
---|---|
<S extends Distance<S>> |
MkTabTreeIndex.getRKNNQuery(DistanceQuery<O,S> distanceQuery,
Object... hints) |
Modifier and Type | Class and Description |
---|---|
class |
MkTreeRKNNQuery<O,D extends Distance<D>>
Instance of a rKNN query for a particular spatial index.
|