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physics.data-an2025
Maximum Information Extraction Via Clustering and Minimization of Shannon Entropy
Matteo Becchi, Giovanni Maria Pavan
In the analysis of any type of system, granting maximum information extraction from its data is non-trivial. Confidence in successful information extraction typically builds on pri…
physics.data-an2025
Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
Domiziano Doria, Simone Martino, Matteo Becchi +1
In general, comprehension of any type of complex system depends on the resolution used to examine the phenomena occurring within it. However, identifying a priori, for example, the…