Palavras-chave
Information visualization
Reorderable matrices
Seriation
Reorderable matrices
Seriation
Como Citar
BARONI, Matheus; SILVA, Celmar da. Matrix reordering analyzer: integration with r software and improvements in support for running experiments. Revista dos Trabalhos de Iniciação Científica da UNICAMP, Campinas, SP, n. 27, p. 1–1, 2019. DOI: 10.20396/revpibic2720192783. Disponível em: https://econtents.bc.unicamp.br/eventos/index.php/pibic/article/view/2783. Acesso em: 20 abr. 2024.
Resumo
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.
Referências
SILVA, C. G. da et al. PQR sort: using PQR trees for binary matrix reorganization. Journal of the Brazilian Computer Society, v. 20, n. 1, 2014
URBANEK, S. How to talk to strangers: ways to leverage connectivity between R, Java and Objective C. Computational Statistics, v. 24, n. 2, p. 303–311, 15 nov. 2008
HAHSLER, M.; HORNIK, K.; BUCHTA, C. Getting Things in Order: An Introduction to the R Package seriation. Journal of Statistical Software, v. 25, n. 3, 2008
WEI, T. et al. Package ‘corrplot’. Statistician, v. 56, p. 316–324, 2017
URBANEK, S. How to talk to strangers: ways to leverage connectivity between R, Java and Objective C. Computational Statistics, v. 24, n. 2, p. 303–311, 15 nov. 2008
HAHSLER, M.; HORNIK, K.; BUCHTA, C. Getting Things in Order: An Introduction to the R Package seriation. Journal of Statistical Software, v. 25, n. 3, 2008
WEI, T. et al. Package ‘corrplot’. Statistician, v. 56, p. 316–324, 2017
Todos os trabalhos são de acesso livre, sendo que a detenção dos direitos concedidos aos trabalhos são de propriedade da Revista dos Trabalhos de Iniciação Científica da UNICAMP.
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