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Entropy Measures for Data Analysis: Theory, Algorithms and Applications

Detalles Bibliográficos
Autor principal: Keller, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514267/
http://dx.doi.org/10.3390/e21100935
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author Keller, Karsten
author_facet Keller, Karsten
author_sort Keller, Karsten
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spelling pubmed-75142672020-11-09 Entropy Measures for Data Analysis: Theory, Algorithms and Applications Keller, Karsten Entropy (Basel) Editorial MDPI 2019-09-25 /pmc/articles/PMC7514267/ http://dx.doi.org/10.3390/e21100935 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Keller, Karsten
Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title_full Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title_fullStr Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title_full_unstemmed Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title_short Entropy Measures for Data Analysis: Theory, Algorithms and Applications
title_sort entropy measures for data analysis: theory, algorithms and applications
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514267/
http://dx.doi.org/10.3390/e21100935
work_keys_str_mv AT kellerkarsten entropymeasuresfordataanalysistheoryalgorithmsandapplications