A linear regression model for imprecise response MB Ferraro, R Coppi, GG Rodríguez, A Colubi International Journal of Approximate Reasoning 51 (7), 759-770, 2010 | 115 | 2010 |
A toolbox for fuzzy clustering using the R programming language MB Ferraro, P Giordani Fuzzy Sets and Systems 279, 1-16, 2015 | 114 | 2015 |
fclust: an R package for fuzzy clustering MB Ferraro, P Giordani, A Serafini The R Journal, 1-18, 2019 | 89 | 2019 |
Introduction to clustering P Giordani, MB Ferraro, F Martella, P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 3-5, 2020 | 82 | 2020 |
Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster CM Williams, M Watanabe, MR Guarracino, MB Ferraro, AS Edison, ... Evolution 68 (12), 3505-3523, 2014 | 75 | 2014 |
A determination coefficient for a linear regression model with imprecise response MB Ferraro, A Colubi, G González‐Rodríguez, R Coppi Environmetrics 22 (4), 516-529, 2011 | 45 | 2011 |
Soft clustering MB Ferraro, P Giordani Wiley Interdisciplinary Reviews: Computational Statistics 12 (1), e1480, 2020 | 35 | 2020 |
A multiple linear regression model for imprecise information MB Ferraro, P Giordani Metrika 75 (8), 1049-1068, 2012 | 32 | 2012 |
On possibilistic clustering with repulsion constraints for imprecise data MB Ferraro, P Giordani Information Sciences 245, 63-75, 2013 | 31 | 2013 |
Possibilistic and fuzzy clustering methods for robust analysis of non-precise data MB Ferraro, P Giordani International Journal of Approximate Reasoning 88, 23-38, 2017 | 30 | 2017 |
A review and proposal of (fuzzy) clustering for nonlinearly separable data MB Ferraro, P Giordani International Journal of Approximate Reasoning 115, 13-31, 2019 | 23 | 2019 |
Hierarchical clustering P Giordani, MB Ferraro, F Martella, P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 9-73, 2020 | 20* | 2020 |
Fuzzy k-Means: history and applications MB Ferraro Econometrics and Statistics, 2021 | 14 | 2021 |
A fuzzy clustering approach for fuzzy data based on a generalized distance AB Ramos-Guajardo, MB Ferraro Fuzzy Sets and Systems 389, 29-50, 2020 | 14 | 2020 |
On the generalization performance of a regression model with imprecise elements MB Ferraro International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017 | 14 | 2017 |
Package ‘fclust’ P Giordani, MB Ferraro, A Serafini, MP Giordani, I Rcpp, LT Rcpp Diakses melalui https://cran. rproject. org/web/packages/fclust/fclust. pdf, 2015 | 14 | 2015 |
Package FCLUST: Fuzzy Clustering P Giordani, MB Ferraro, A Serafini CRAN R studio, 2015 | 12 | 2015 |
A new fuzzy clustering algorithm with entropy regularization MB Ferraro, P Giordani Cladag 2013. 9th Meeting of the Classification and Data Analysis Group. Book …, 2013 | 11 | 2013 |
A class of two-mode clustering algorithms in a fuzzy setting MB Ferraro, P Giordani, M Vichi Econometrics and Statistics 18, 63-78, 2021 | 10 | 2021 |
A proposal of robust regression for random fuzzy sets MB Ferraro, P Giordani Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013 | 8 | 2013 |