Recurrence plots display binary texture of time series from dynamical systems with single dots and line structures. Using fuzzy recurrence plots, recurrences of the phase-space states can be visualized as grayscale texture, which is more informative for pattern analysis. The proposed method replaces the crucial similarity threshold required by symmetrical recurrence plots with the number of cluster centers, where the estimate of the latter parameter is less critical than the estimate of the former. Copyright (C) EPLA, 2016
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Prince Mohammad Bin Fahd Univ, Ctr Artificial Intelligence, Al Khobar, Saudi ArabiaPrince Mohammad Bin Fahd Univ, Ctr Artificial Intelligence, Al Khobar, Saudi Arabia
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Prince Mohammad Bin Fand Univ Khobar, Ctr Artificial Intelligence, Dhahran, Saudi ArabiaPrince Mohammad Bin Fand Univ Khobar, Ctr Artificial Intelligence, Dhahran, Saudi Arabia
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Triinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USATriinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USA
Li, Qiang
Calhoun, Vince D.
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Triinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USATriinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USA
Calhoun, Vince D.
Pham, Tuan D.
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Queen Mary Univ London, Barts & London Sch Med & Dent, Turner St, London E1 2AD, EnglandTriinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USA
Pham, Tuan D.
Iraji, Armin
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Triinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USATriinst Ctr Translat Res Neuroimaging & Data Sci T, Atlanta, GA 30303 USA