We continue studying IFS with restricted combinations.

Finally we move on to driving IFS by numerical data series.

Converting the numerical series into a selection of IFS rules involves coarse-graining the data. We investigate several schemes for doing this.

Driven IFS with forbidden combinations Gaps in the driven IFS picture indicate combinations of transformations that do not occur. IFS driven by data What can driven IFS tell us about patterns in measured data?