COPAC is an algorithm to partition a database according to the correlation
dimension of its objects
Performs correlation clustering on the data partitioned according to local
4C identifies local subgroups of data objects sharing a uniform correlation. The
algorithm is based
Linear manifold clustering in high dimensional spaces by stochastic search.
ORCLUS: Arbitrarily ORiented projected CLUSter generation. Reference:
C. C. Aggarwal, P. S. Yu