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The Chaos Decision Tree Algorithm

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Version 7 2019-10-17, 08:36
Version 6 2019-10-17, 08:29
Version 5 2019-10-17, 08:28
Version 4 2019-09-24, 09:35
Version 3 2019-06-11, 20:06
Version 2 2019-06-11, 20:05
Version 1 2019-03-25, 23:06
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posted on 2019-10-17, 08:36 authored by Daniel TokerDaniel Toker
This code implements the Chaos Decision Tree Algorithm, which uses surrogate testing, de-noising, and the modified 0-1 test for chaos to quickly and automatically determine if a time-series is stochastic, periodic, or chaotic (meaning that it's generated from a system with exponential sensitivity to initial conditions). We also include code to simulate a variety of stochastic, periodic, and chaotic datasets.

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