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Entropy Measures for Data Analysis: Theory, Algorithms and Applications

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.

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EAN: 9783039280322

UPC: 9783039280322

ISBN: 9783039280322

MPN: N/A

Item Length: 24.4 cm

Publisher: Mdpi Ag

Publication Year: 2019

Subject: Geology

Item Height: 244 mm

Number of Pages: 260 Pages

Language: English

Publication Name: Entropy Measures for Data Analysis: Theory, Algorithms and Applications

Item Weight: 562 g

Type: Textbook

Author: Not Available

Item Width: 170 mm

Format: Paperback

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