cf. G. Moise and J. Sander. Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering.

Input Ports

The database the algorithm should work on.

Output Ports

A table containing all subspace clusters and how each dimension is relevant to them.
A table containing an entry for each object-to-cluster relation, so an object that belongs to many clusters will occur multiple times.