No. 27 (2019), Resumos
No. 27 (2019)

Matrix reordering analyzer: integration with r software and improvements in support for running experiments

Resumos
Published 2019-11-30
Matheus Baroni
Universidade Estadual de Campinas
Celmar da Silva
Universidade Estadual de Campinas
https://orcid.org/0000-0001-6112-892X
PDF (Portuguese)

Keywords

Information visualization
Reorderable matrices
Seriation

How to Cite

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.sbu.unicamp.br/eventos/index.php/pibic/article/view/2783. Acesso em: 18 oct. 2026.
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Abstract

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.

PDF (Portuguese)

References

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
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