| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
| Class and Description |
|---|
| CASH
Provides the CASH algorithm, an subspace clustering algorithm based on the
Hough transform.
|
| COPAC
Provides the COPAC algorithm, 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.
|
| 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.
|
| FourC
4C identifies local subgroups of data objects sharing a uniform correlation.
|
| 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 provides the ORCLUS algorithm, an algorithm to find clusters in high
dimensional spaces.
|
| ORCLUS.ORCLUSCluster
Encapsulates the attributes of a cluster.
|
| ORCLUS.ProjectedEnergy
Encapsulates the projected energy for a cluster.
|