We investigate the use of iterated function system (IFS) models for data
analysis. An IFS is a collection of dynamical systems that switches between
deterministic regimes. An algorithm is developed to detect the regime switches
under the assumption of continuity. This method is tested on a simple IFS and
applied to an experimental computer performance data set. This methodology has
a wide range of potential uses: from change-point detection in time-series
data, to the field of digital communications.