Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
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de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
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Modifier and Type | Field and Description |
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Heap<DoubleDistanceResultPair> |
HilOut.HilFeature.nn
Heap with the nearest known neighbors
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Constructor and Description |
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HilOut.HilFeature(DBID id,
Heap<DoubleDistanceResultPair> nn)
Constructor.
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Modifier and Type | Method and Description |
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private List<DoubleDistanceResultPair> |
OUTRES.refineRange(List<DistanceResultPair<DoubleDistance>> neighc,
double adjustedEps)
Refine a range query.
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private List<DoubleDistanceResultPair> |
OUTRES.subsetNeighborhoodQuery(List<DistanceResultPair<DoubleDistance>> neighc,
DBID dbid,
PrimitiveDoubleDistanceFunction<? super V> df,
double adjustedEps,
OUTRES.KernelDensityEstimator kernel)
Refine neighbors within a subset.
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Modifier and Type | Method and Description |
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protected boolean |
OUTRES.relevantSubspace(BitSet subspace,
List<DoubleDistanceResultPair> neigh,
OUTRES.KernelDensityEstimator kernel)
Subspace relevance test.
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protected double |
OUTRES.KernelDensityEstimator.subspaceDensity(BitSet subspace,
List<DoubleDistanceResultPair> neighbours)
Compute density in the given subspace.
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