Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN
Generalized DBSCAN is an abstraction of the original DBSCAN idea,
that allows the use of arbitrary "neighborhood" and "core point" predicates.
|
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.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
Modifier and Type | Class and Description |
---|---|
class |
FourC<V extends NumberVector>
4C identifies local subgroups of data objects sharing a uniform correlation.
|
Modifier and Type | Method and Description |
---|---|
protected GeneralizedDBSCAN |
GeneralizedDBSCAN.Parameterizer.makeInstance() |
Modifier and Type | Class and Description |
---|---|
class |
PreDeCon<V extends NumberVector>
PreDeCon computes clusters of subspace preference weighted connected points.
|
Modifier and Type | Class and Description |
---|---|
class |
FDBSCAN
FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.
|
Copyright © 2019 ELKI Development Team. License information.