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How to avoid potential pitfalls in recurrence plot based data analysis
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Recurrence plots and recurrence quantification analysis have become popular in the last two decades. Recurrence based methods have on the one hand a deep foundation in the theory of dynamical systems and are on the other hand powerful tools for the investigation of a variety of problems. The increasing interest encompasses the growing risk of misuse and uncritical application of these methods. Therefore, we point out potential problems and pitfalls related to different aspects of the application of recurrence plots and recurrence quantification analysis.
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Combining Machine Learning with Recurrence Analysis for resonance detection
A machine learning model trained on recurrence quantifiers of a standard map can detect resonances in other 2D systems, but its generalization to a 4D map requires matching embedding conditions and yields unclear peaks.
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