Fourier feature extraction combined with unsupervised clustering on total variations of amplitude, phase, and frequency classifies chimera state types in Rayleigh oscillator networks.
Some methods of classification and analy- sis of multivariate observations
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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.