CASH |
The CASH algorithm is a subspace clustering algorithm based on the Hough
transform.
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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.
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COPAC.Settings |
Class to wrap the COPAC settings.
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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.
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ERiC.Settings |
Class to wrap the ERiC settings.
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FourC |
4C identifies local subgroups of data objects sharing a uniform correlation.
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FourC.Settings |
Class wrapping the 4C parameter settings.
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HiCO |
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies
of correlation clusters.
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LMCLUS |
Linear manifold clustering in high dimensional spaces by stochastic search.
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LMCLUS.Separation |
Class to represent a linear manifold separation
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ORCLUS |
ORCLUS: Arbitrarily ORiented projected CLUSter generation.
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ORCLUS.ORCLUSCluster |
Encapsulates the attributes of a cluster.
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ORCLUS.ProjectedEnergy |
Encapsulates the projected energy for a cluster.
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