| 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 | 132 | 2010 |
| A toolbox for fuzzy clustering using the R programming language MB Ferraro, P Giordani Fuzzy Sets and Systems 279, 1-16, 2015 | 126 | 2015 |
| Introduction to clustering P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 3-5, 2020 | 120 | 2020 |
| fclust: an R package for fuzzy clustering MB Ferraro, P Giordani, A Serafini The R Journal, 1-18, 2019 | 120 | 2019 |
| 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 | 80 | 2014 |
| Soft clustering MB Ferraro, P Giordani Wiley Interdisciplinary Reviews: Computational Statistics 12 (1), e1480, 2020 | 57 | 2020 |
| 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 | 49 | 2011 |
| Fuzzy k-Means: history and applications MB Ferraro Econometrics and Statistics 30, 110-123, 2024 | 40 | 2024 |
| Hierarchical clustering P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 9-73, 2020 | 35* | 2020 |
| A multiple linear regression model for imprecise information MB Ferraro, P Giordani Metrika 75 (8), 1049-1068, 2012 | 33 | 2012 |
| 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 | 32 | 2017 |
| On possibilistic clustering with repulsion constraints for imprecise data MB Ferraro, P Giordani Information Sciences 245, 63-75, 2013 | 32 | 2013 |
| Document clustering I Cozzolino, MB Ferraro Wiley Interdisciplinary Reviews: Computational Statistics 14 (6), e1588, 2022 | 24 | 2022 |
| A review and proposal of (fuzzy) clustering for nonlinearly separable data MB Ferraro, P Giordani International Journal of Approximate Reasoning 115, 13-31, 2019 | 24 | 2019 |
| On the generalization performance of a regression model with imprecise elements MB Ferraro International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017 | 17 | 2017 |
| 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 | 16 | 2020 |
| Package ‘fclust’ P Giordani, MB Ferraro, A Serafini, MP Giordani, I Rcpp, LT Rcpp Consultato il 15 (03), 2016, 2015 | 16 | 2015 |
| A class of two-mode clustering algorithms in a fuzzy setting MB Ferraro, P Giordani, M Vichi Econometrics and Statistics 18, 63-78, 2021 | 13 | 2021 |
| 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 | 10 | 2013 |
Paolo GiordaniSapienza University of RomeVerified email at uniroma1.it
