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- W2020690727 abstract "Change-point detection based on an observed time series has emerged as an important method for detecting changes in dynamics of real-world systems. Recently, recurrence networks have been shown to be useful, which are network representations of recurrences, to analyze underlying dynamics. In this paper, we propose a new method for detecting dynamical changes using recurrence networks. The proposed method extracts a group of time indices that share the same dynamics as a community of the recurrence network. In addition, some numerical simulations are presented to verify the validity of this method." @default.
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- W2020690727 date "2013-01-01" @default.
- W2020690727 modified "2023-10-02" @default.
- W2020690727 title "Change-point detection with recurrence networks" @default.
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- W2020690727 doi "https://doi.org/10.1587/nolta.4.160" @default.
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