The exploitation of large data bases frequently
implies the investment of large and, usually, expensive
resources both in terms of the storage and processing time
required. It is possible to obtain equivalent reduced data sets
where the statistical information of the original data may be
preserved while dispensing with redundant constituents.
Therefore, the physical embodiment of the relevant features of
the data base is more economical. We propose a method where
we may obtain an optimal transformed representation of the
original data which is, in general, considerably more compact
than the original without impairing its informational content.