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I'm working on something like this for the next evolution of the entropy visualizations. I've toyed with compression, but have had nicer results so far with other randomness estimators. I'll do a writeup once I have something to show.

For a continuous compression function your idea of running on a rotated or reversed version of the file and then taking a minimum is a cunning one! Right now, I'm still working with sliding windows, but I'll keep it in mind if I turn back to compression.



I'm curious what other randomness estimators you'll be using... (or maybe I'll just have to wait for another blog post).


Very cool! I'm trying to visualize entropy based on Google Books' n-gram models of text.




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