Fourier feature extraction combined with unsupervised clustering on total variations of amplitude, phase, and frequency classifies chimera state types in Rayleigh oscillator networks.
Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements.Physica D: Nonlinear Phenomena, 41(2):137–172
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Classification of Chimera States via Fourier Analysis and Unsupervised Learning
Fourier feature extraction combined with unsupervised clustering on total variations of amplitude, phase, and frequency classifies chimera state types in Rayleigh oscillator networks.