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- research-articleDecember 2023
Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics
AbstractIn order to explore the suitability of a fine-grained classification of journal articles by exploiting multiple sources of information, articles are organized in a two-layer multiplex. The first layer conveys similarities based on the full-text of ...
- articleAugust 2009
Multiple correspondence analysis in predictive logistic modelling: Application to a living-donor kidney transplantation data
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna,
- João Carlos G. D. Costa
Computer Methods and Programs in Biomedicine (CBIO), Volume 95, Issue 2Pages 116–128https://doi.org/10.1016/j.cmpb.2009.02.003This work deals with the use of multiple correspondence analysis (MCA) and a weighted Euclidean distance (the tolerance distance) as an exploratory tool in developing predictive logistic models. The method was applied to a living-donor kidney transplant ...
- articleJune 2008
A heuristic index for selecting similar categories in multiple correspondence analysis applied to living donor kidney transplantation
- João Carlos G. D. Costa,
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna
Computer Methods and Programs in Biomedicine (CBIO), Volume 90, Issue 3Pages 217–229https://doi.org/10.1016/j.cmpb.2008.01.005This work introduces a heuristic index (the ''tolerance distance'') to define the ''closeness'' of two variable categories in multiple correspondence analysis (MCA). This index is a weighted Euclidean distance where weightings are based on the ''...