Entropy Measures for Data Analysis: Theory, Algorithms and Applications

Von:

Keller, Karsten [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2019Beschreibung: 1 Online-Ressource (260 p.)ISBN:

9783039280322
9783039280339

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: 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 givenPPN: PPN: 1778493610Package identifier: Produktsigel: ZDB-94-OAB

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English