Matrix reordering analyzer: integration with r software and improvements in support for running experiments
The project aims to continue the development of the Matrix Reordering Analyser (MRA) by enhancing internal processes of experiment execution and the integration with R Software, in which several seriation algorithms already available on its libraries could be used as matrix reordering algorithms by...
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| Format: | Online |
| Language: | Portuguese |
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Universidade Estadual de Campinas
2019
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| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2783 |
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| _version_ | 1864359247712616448 |
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| author | Baroni, Matheus Silva, Celmar da |
| author_facet | Baroni, Matheus Silva, Celmar da |
| author_sort | Baroni, Matheus |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 |
| description | The project aims to continue the development of the Matrix Reordering Analyser (MRA) by enhancing internal processes of experiment execution and the integration with R Software, in which several seriation algorithms already available on its libraries could be used as matrix reordering algorithms by the MRA. |
| first_indexed | 2025-10-08T13:58:32Z |
| format | Online |
| id | ojs-article-2783 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | por |
| last_indexed | 2025-10-08T13:58:32Z |
| publishDate | 2019 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-27832025-09-26T14:39:16Z Matrix reordering analyzer: integration with r software and improvements in support for running experiments Baroni, Matheus Silva, Celmar da Information visualization Reorderable matrices Seriation The project aims to continue the development of the Matrix Reordering Analyser (MRA) by enhancing internal processes of experiment execution and the integration with R Software, in which several seriation algorithms already available on its libraries could be used as matrix reordering algorithms by the MRA. Universidade Estadual de Campinas 2019-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2783 10.20396/revpibic2720192783 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 2596-1969 por https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2783/2785 Copyright (c) 2019 Revista dos Trabalhos de Iniciação Científica da UNICAMP http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Baroni, Matheus Silva, Celmar da Information visualization Reorderable matrices Seriation Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title | Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title_full | Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title_fullStr | Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title_full_unstemmed | Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title_short | Matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| title_sort | matrix reordering analyzer: integration with r software and improvements in support for running experiments |
| topic | Information visualization Reorderable matrices Seriation |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2783 |
| work_keys_str_mv | AT baronimatheus matrixreorderinganalyzerintegrationwithrsoftwareandimprovementsinsupportforrunningexperiments AT silvacelmarda matrixreorderinganalyzerintegrationwithrsoftwareandimprovementsinsupportforrunningexperiments |
