Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
Modifier and Type | Field and Description |
---|---|
protected DimensionSelectingSubspaceDistanceFunction<V> |
SUBCLU.Parameterizer.distance |
private DimensionSelectingSubspaceDistanceFunction<V> |
SUBCLU.distanceFunction
Holds the instance of the distance function specified by
SUBCLU.DISTANCE_FUNCTION_ID . |
Constructor and Description |
---|
SUBCLU(DimensionSelectingSubspaceDistanceFunction<V> distanceFunction,
double epsilon,
int minpts)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractDimensionsSelectingDistanceFunction<V extends FeatureVector<?>>
Abstract base class for distances computed only in subspaces.
|
class |
OnedimensionalDistanceFunction
Distance function that computes the distance between feature vectors as the
absolute difference of their values in a specified dimension only.
|
class |
SubspaceEuclideanDistanceFunction
Euclidean distance function between
NumberVector s only in specified
dimensions. |
class |
SubspaceLPNormDistanceFunction
LP-Norm distance function between
NumberVector s only in specified
dimensions. |
class |
SubspaceManhattanDistanceFunction
Manhattan distance function between
NumberVector s only in specified
dimensions. |
class |
SubspaceMaximumDistanceFunction
Maximum distance function between
NumberVector s only in specified
dimensions. |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.