Entropy Measures for Data Analysis: Theory, Algorithms and Applications

ISBN 10: 3039280325 / ISBN 13: 9783039280322

Published by Mdpi AG, 2019

About this Item

Seller Inventory # I-9783039280322

Bibliographic Details

• Title: Entropy Measures for Data Analysis: Theory, Algorithms and Applications
• Publisher: Mdpi AG
• Publication Date: 2019
• Language: English
• ISBN 10: 3039280325
• ISBN 13: 9783039280322
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.