Multidimensional scaling method for complex time series feature classification based on generalized complexity-invariant distance

DOI10.1007/s11071-018-4728-6zbMath1437.37105OpenAlexW2903966024MaRDI QIDQ783366

Du Shang, Pengjian Shang, Liu Liu

Publication date: 4 August 2020

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-018-4728-6

zbMATH Keywords

classificationfinancial time seriesmultidimensional scalingcomplexity-invariant distancetraffic signal time series

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Traffic and pedestrian flow models (76A30)

Related Items (3)

Analysis of time series in the cumulative residual entropy plane based on oscillation roughness exponent ⋮ The Fisher-DisEn plane: a novel approach to distinguish different complex systems ⋮ Efficient synchronization estimation for complex time series using refined cross-sample entropy measure

Uses Software

• PhysioToolkit

Cites Work

• Unnamed Item
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• The detection of local irreversibility in time series based on segmentation
• Modern multidimensional scaling. Theory and applications.
• Nonmetric multidimensional scaling. A numerical method
• Modified multidimensional scaling approach to analyze financial markets

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