| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.distance | 
 Distance-based outlier detection algorithms, such as DBOutlier and kNN. 
 | 
| de.lmu.ifi.dbs.elki.database.query.distance | 
 Prepared queries for distances 
 | 
| de.lmu.ifi.dbs.elki.database.query.knn | 
 Prepared queries for k nearest neighbor (kNN) queries 
 | 
| 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 | 
|---|---|
protected DoubleDBIDList | 
ReferenceBasedOutlierDetection.computeDistanceVector(NumberVector refPoint,
                     Relation<? extends NumberVector> database,
                     PrimitiveDistanceQuery<? super NumberVector> distFunc)
Computes for each object the distance to one reference point. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
PrimitiveDistanceSimilarityQuery<O>
Combination query class, for convenience. 
 | 
class  | 
SpatialPrimitiveDistanceQuery<V extends SpatialComparable>
Distance query for spatial distance functions 
 | 
class  | 
SpatialPrimitiveDistanceSimilarityQuery<O extends SpatialComparable>
Combination query class, to allow combined implementations of spatial
 distances and similarities. 
 | 
| Constructor and Description | 
|---|
LinearScanEuclideanDistanceKNNQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor. 
 | 
LinearScanPrimitiveDistanceKNNQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor. 
 | 
| Constructor and Description | 
|---|
LinearScanEuclideanDistanceRangeQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor. 
 | 
LinearScanPrimitiveDistanceRangeQuery(PrimitiveDistanceQuery<O> distanceQuery)
Constructor. 
 | 
Copyright © 2019 ELKI Development Team. License information.