Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
Class and Description |
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CASH
The CASH algorithm is a subspace clustering algorithm based on the Hough
transform.
|
COPAC
COPAC is an algorithm to partition a database according to the correlation
dimension of its objects and to then perform an arbitrary clustering
algorithm over the partitions.
|
COPAC.Settings
Class to wrap the COPAC settings.
|
ERiC
Performs correlation clustering on the data partitioned according to local
correlation dimensionality and builds a hierarchy of correlation clusters
that allows multiple inheritance from the clustering result.
|
ERiC.Settings
Class to wrap the ERiC settings.
|
FourC
4C identifies local subgroups of data objects sharing a uniform correlation.
|
FourC.Settings
Class wrapping the 4C parameter settings.
|
HiCO
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies
of correlation clusters.
|
LMCLUS
Linear manifold clustering in high dimensional spaces by stochastic search.
|
LMCLUS.Separation
Class to represent a linear manifold separation
|
ORCLUS
ORCLUS: Arbitrarily ORiented projected CLUSter generation.
|
ORCLUS.ORCLUSCluster
Encapsulates the attributes of a cluster.
|
ORCLUS.ProjectedEnergy
Encapsulates the projected energy for a cluster.
|
Class and Description |
---|
COPAC.Settings
Class to wrap the COPAC settings.
|
ERiC.Settings
Class to wrap the ERiC settings.
|
FourC.Settings
Class wrapping the 4C parameter settings.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.