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MDPI AG Entropy Measures for Data Analysis: Theory, Algorithms and Applications

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Description

Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses.The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.

Product Specifications

Brand
MDPI AG
Format
paperback
Domain
Amazon UK
Release Date
19 December 2019
Listed Since
31 December 2019

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