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Graph-Based Multivariate Multiscale Dispersion Entropy: Efficient Implementation and Applications to Real-World Network Data

Computer Science

Graph-Based Multivariate Multiscale Dispersion Entropy: Efficient Implementation and Applications to Real-World Network Data

J. S. Fabila-carrasco, C. Tan, et al.

Discover the groundbreaking approach of Multivariate Multiscale Graph-based Dispersion Entropy (mvDEG) developed by John Stewart Fabila-Carrasco, Chao Tan, and Javier Escudero. This innovative method revolutionizes the analysis of multivariate time series data by blending temporal dynamics with topological relationships, showcasing exceptional ability in distinguishing complexity levels with remarkable computational efficiency.... show more
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