Entropy Measures for Data Analysis: Theory, Algorithms and Applications
By 作者: Karsten Keller
Pages 页数: 260 pages
Edition 版本: 1
Language 语言: English
Publisher Finelybook 出版社: Mdpi AG
Publication Date 出版日期: 2019-12-19
Book Description to Finelybook sorting
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.
Mdpi AG Entropy Measures for Data Analysis Theory Algorithms and Applications 9783039280322.pdf