Entropy Measures for Data Analysis

<p>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.</p><p>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.</p>