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On the Complexity Analysis and Visualization of Musical Information
This paper considers several distinct mathematical and computational tools, namely complexity, dimensionality-reduction, clustering, and visualization techniques, for characterizing music. Digital representations of musical works of four artists are analyzed by means of distinct indices and visualiz...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515166/ https://www.ncbi.nlm.nih.gov/pubmed/33267383 http://dx.doi.org/10.3390/e21070669 |
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author | Lopes, António M. Tenreiro Machado, J. A. |
author_facet | Lopes, António M. Tenreiro Machado, J. A. |
author_sort | Lopes, António M. |
collection | PubMed |
description | This paper considers several distinct mathematical and computational tools, namely complexity, dimensionality-reduction, clustering, and visualization techniques, for characterizing music. Digital representations of musical works of four artists are analyzed by means of distinct indices and visualized using the multidimensional scaling technique. The results are then correlated with the artists’ musical production. The patterns found in the data demonstrate the effectiveness of the approach for assessing the complexity of musical information. |
format | Online Article Text |
id | pubmed-7515166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75151662020-11-09 On the Complexity Analysis and Visualization of Musical Information Lopes, António M. Tenreiro Machado, J. A. Entropy (Basel) Article This paper considers several distinct mathematical and computational tools, namely complexity, dimensionality-reduction, clustering, and visualization techniques, for characterizing music. Digital representations of musical works of four artists are analyzed by means of distinct indices and visualized using the multidimensional scaling technique. The results are then correlated with the artists’ musical production. The patterns found in the data demonstrate the effectiveness of the approach for assessing the complexity of musical information. MDPI 2019-07-09 /pmc/articles/PMC7515166/ /pubmed/33267383 http://dx.doi.org/10.3390/e21070669 Text en © 2019 by the authors. 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 | Article Lopes, António M. Tenreiro Machado, J. A. On the Complexity Analysis and Visualization of Musical Information |
title | On the Complexity Analysis and Visualization of Musical Information |
title_full | On the Complexity Analysis and Visualization of Musical Information |
title_fullStr | On the Complexity Analysis and Visualization of Musical Information |
title_full_unstemmed | On the Complexity Analysis and Visualization of Musical Information |
title_short | On the Complexity Analysis and Visualization of Musical Information |
title_sort | on the complexity analysis and visualization of musical information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515166/ https://www.ncbi.nlm.nih.gov/pubmed/33267383 http://dx.doi.org/10.3390/e21070669 |
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