Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms
Clustering algorithms are supposed to implement the
Algorithm -Interface. |
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms
The clustering algorithms in this package are instances of both, projected clustering algorithms or
subspace clustering algorithms according to the classical but somewhat obsolete classification schema
of clustering algorithms for axis-parallel subspaces.
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
Modifier and Type | Field and Description |
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private LocallyWeightedDistanceFunction<V> |
AbstractProjectedDBSCAN.distanceFunction
Holds the instance of the distance function specified by
AbstractProjectedDBSCAN.INNER_DISTANCE_FUNCTION_ID . |
protected LocallyWeightedDistanceFunction<V> |
AbstractProjectedDBSCAN.Parameterizer.outerdist |
Constructor and Description |
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AbstractProjectedDBSCAN(DoubleDistance epsilon,
int minpts,
LocallyWeightedDistanceFunction<V> distanceFunction,
int lambda)
Constructor.
|
Constructor and Description |
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FourC(DoubleDistance epsilon,
int minpts,
LocallyWeightedDistanceFunction<V> distanceFunction,
int lambda)
Constructor.
|
Constructor and Description |
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PreDeCon(DoubleDistance epsilon,
int minpts,
LocallyWeightedDistanceFunction<V> distanceFunction,
int lambda)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected LocallyWeightedDistanceFunction<V> |
LocallyWeightedDistanceFunction.Parameterizer.makeInstance() |
Constructor and Description |
---|
LocallyWeightedDistanceFunction.Instance(Relation<V> database,
LocalProjectionIndex<V,?> index,
LocallyWeightedDistanceFunction<? super V> distanceFunction)
Constructor.
|