Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
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de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query |
Classes for performing queries (knn, range, ...) on metrical trees.
|
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 |
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private DoubleDistanceDBIDList |
OUTRES.refineRange(DistanceDBIDResult<DoubleDistance> neighc,
double adjustedEps)
Refine a range query.
|
private DoubleDistanceDBIDList |
OUTRES.subsetNeighborhoodQuery(DistanceDBIDResult<DoubleDistance> neighc,
DBIDRef dbid,
PrimitiveDoubleDistanceFunction<? super V> df,
double adjustedEps,
OUTRES.KernelDensityEstimator kernel)
Refine neighbors within a subset.
|
Modifier and Type | Method and Description |
---|---|
protected boolean |
OUTRES.relevantSubspace(BitSet subspace,
DoubleDistanceDBIDList neigh,
OUTRES.KernelDensityEstimator kernel)
Subspace relevance test.
|
protected double |
OUTRES.KernelDensityEstimator.subspaceDensity(BitSet subspace,
DoubleDistanceDBIDList neighbors)
Compute density in the given subspace.
|
Modifier and Type | Method and Description |
---|---|
private void |
DoubleDistanceMetricalIndexRangeQuery.doRangeQuery(DBID id_p,
AbstractMTreeNode<O,DoubleDistance,?,?> node,
O q,
double r_q,
DoubleDistanceDBIDList result)
Performs a range query on the specified subtree.
|
Modifier and Type | Method and Description |
---|---|
protected DoubleDistanceDBIDList |
DoubleDistanceRStarTreeRangeQuery.doRangeQuery(O object,
double epsilon)
Perform the actual query process.
|
Modifier and Type | Method and Description |
---|---|
DoubleDistanceDBIDList |
VAFile.VAFileRangeQuery.getRangeForObject(V query,
DoubleDistance range) |
DoubleDistanceDBIDList |
PartialVAFile.PartialVAFileRangeQuery.getRangeForObject(V query,
DoubleDistance range) |