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Information theory and dimensionality of space

We present an information-theoretic approach to the optimal representation of the intrinsic dimensionality of data and show it is a noninteger. Since optimality is accepted as a physical principle, this provides a theoretical explanation for why noninteger dimensions are useful in many branches of p...

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Autor principal: Kak, Subhash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693271/
https://www.ncbi.nlm.nih.gov/pubmed/33244156
http://dx.doi.org/10.1038/s41598-020-77855-9
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description We present an information-theoretic approach to the optimal representation of the intrinsic dimensionality of data and show it is a noninteger. Since optimality is accepted as a physical principle, this provides a theoretical explanation for why noninteger dimensions are useful in many branches of physics, where they have been introduced based on experimental considerations. Noninteger dimensions correlate with lesser density as in the Hausdorff dimension and this can have measurable effects. We use the lower density of noninteger dimension to resolve the problem of two different values of the Hubble constant obtained using different methods.
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spelling pubmed-76932712020-11-30 Information theory and dimensionality of space Kak, Subhash Sci Rep Article We present an information-theoretic approach to the optimal representation of the intrinsic dimensionality of data and show it is a noninteger. Since optimality is accepted as a physical principle, this provides a theoretical explanation for why noninteger dimensions are useful in many branches of physics, where they have been introduced based on experimental considerations. Noninteger dimensions correlate with lesser density as in the Hausdorff dimension and this can have measurable effects. We use the lower density of noninteger dimension to resolve the problem of two different values of the Hubble constant obtained using different methods. Nature Publishing Group UK 2020-11-26 /pmc/articles/PMC7693271/ /pubmed/33244156 http://dx.doi.org/10.1038/s41598-020-77855-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kak, Subhash
Information theory and dimensionality of space
title Information theory and dimensionality of space
title_full Information theory and dimensionality of space
title_fullStr Information theory and dimensionality of space
title_full_unstemmed Information theory and dimensionality of space
title_short Information theory and dimensionality of space
title_sort information theory and dimensionality of space
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693271/
https://www.ncbi.nlm.nih.gov/pubmed/33244156
http://dx.doi.org/10.1038/s41598-020-77855-9
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