finelybook
Entropy Measures for Data Analysis: Theory,Algorithms and Applications
by: Karsten Keller
Pages: 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
ISBN-10: 3039280325
ISBN-13: 9783039280322
Book 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
Entropy Measures for Data Analysis: Theory,Algorithms and Applications
相关推荐
- Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
- Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults
- Data Science and Predictive Analytics: Biomedical and Health Applications using R 2nd Edition
- Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn
