Data Base Analysis Using A Compact Data Set

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.