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Open AccessEditorial

Entropy Measures for Data Analysis: Theory, Algorithms and Applications

Institut für Mathematik, Universität zu Lübeck, D-23562 Lübeck, Germany
Entropy 2019, 21(10), 935; https://doi.org/10.3390/e21100935
Received: 11 September 2019 / Accepted: 22 September 2019 / Published: 25 September 2019
Note: In lieu of an abstract, this is an excerpt from the first page.

Entropies and entropy-like quantities are playing an increasing role in modern non-linear data analysis and beyond [...] View Full-Text
Keywords: data analysis; entropy; entropy measures; automatic learning data analysis; entropy; entropy measures; automatic learning
MDPI and ACS Style

Keller, K. Entropy Measures for Data Analysis: Theory, Algorithms and Applications. Entropy 2019, 21, 935.

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