|
Class Summary |
| CASH |
Provides the CASH algorithm, an subspace clustering algorithm based on the
hough transform. |
| CASH.Parameterizer |
Parameterization class. |
| COPAC<V extends NumberVector<V,?>,D extends Distance<D>> |
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. |
| COPAC.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>> |
Parameterization class. |
| ERiC<V extends NumberVector<V,?>> |
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.Parameterizer<V extends NumberVector<V,?>> |
Parameterization class. |
| FourC<V extends NumberVector<V,?>> |
4C identifies local subgroups of data objects sharing a uniform correlation. |
| FourC.Parameterizer<O extends NumberVector<O,?>> |
Parameterization class. |
| HiCO<V extends NumberVector<V,?>> |
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies
of correlation clusters. |
| HiCO.Parameterizer<V extends NumberVector<V,?>> |
Parameterization class. |
| ORCLUS<V extends NumberVector<V,?>> |
ORCLUS provides the ORCLUS algorithm, an algorithm to find clusters in high
dimensional spaces. |
| ORCLUS.Parameterizer<V extends NumberVector<V,?>> |
Parameterization class. |
