Data Analysis by Driven IFS

Purpose To use driven IFS to detect correlations in data

Materials Data sets {x₁, x₂, ... , x_n} in sequential order (that is, the order of the entries in the list is the same as the order in which they occur), and some version of driven IFS software.

Background

Procedure

Sample

Conclusions

Driven IFS can reveal unlikely or forbidden combinations, and also combinations more likely than the average. The kind of information provided by the driven IFS depends delicately on the choice of bin boundaries, so selecting bin boundaries appropriate for the problem requires some care.

Exercises