Fourier feature extraction combined with unsupervised clustering on total variations of amplitude, phase, and frequency classifies chimera state types in Rayleigh oscillator networks.
Multi-scaled turbulence in large populations of oscillators in a diffusive medium.Physica A: Statistical Mechanics and its Ap- plications, 288(1-4):244–264
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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.