Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
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de.lmu.ifi.dbs.elki.database.query.distance |
Prepared queries for distances.
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de.lmu.ifi.dbs.elki.database.query.knn |
Prepared queries for k nearest neighbor (kNN) queries.
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de.lmu.ifi.dbs.elki.database.query.range |
Prepared queries for ε-range queries, that return all objects within the radius ε.
|
Modifier and Type | Method and Description |
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protected DoubleDBIDList |
ReferenceBasedOutlierDetection.computeDistanceVector(NumberVector refPoint,
Relation<? extends NumberVector> database,
PrimitiveDistanceQuery<? super NumberVector> distFunc)
Computes for each object the distance to one reference point.
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Modifier and Type | Class and Description |
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class |
PrimitiveDistanceSimilarityQuery<O>
Combination query class, for convenience.
|
class |
SpatialPrimitiveDistanceQuery<V extends SpatialComparable>
Distance query for spatial distance functions
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Constructor and Description |
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LinearScanEuclideanDistanceKNNQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor.
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LinearScanPrimitiveDistanceKNNQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor.
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Constructor and Description |
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LinearScanEuclideanDistanceRangeQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor.
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LinearScanPrimitiveDistanceRangeQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.