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Maria Brigida Ferraro
Maria Brigida Ferraro
Email verificata su uniroma1.it
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Citata da
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Anno
A toolbox for fuzzy clustering using the R programming language
MB Ferraro, P Giordani
Fuzzy Sets and Systems 279, 1-16, 2015
1132015
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
1102010
fclust: an R package for fuzzy clustering
MB Ferraro, P Giordani, A Serafini
The R Journal, 1-18, 2019
762019
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
722014
Introduction to clustering
P Giordani, MB Ferraro, F Martella, P Giordani, MB Ferraro, F Martella
An Introduction to Clustering with R, 3-5, 2020
682020
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
442011
A multiple linear regression model for imprecise information
MB Ferraro, P Giordani
Metrika 75 (8), 1049-1068, 2012
322012
On possibilistic clustering with repulsion constraints for imprecise data
MB Ferraro, P Giordani
Information Sciences 245, 63-75, 2013
312013
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
302017
Soft clustering
MB Ferraro, P Giordani
Wiley Interdisciplinary Reviews: Computational Statistics 12 (1), e1480, 2020
292020
A review and proposal of (fuzzy) clustering for nonlinearly separable data
MB Ferraro, P Giordani
International Journal of Approximate Reasoning 115, 13-31, 2019
222019
Hierarchical clustering
P Giordani, MB Ferraro, F Martella, P Giordani, MB Ferraro, F Martella
An Introduction to Clustering with R, 9-73, 2020
15*2020
On the generalization performance of a regression model with imprecise elements
MB Ferraro
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017
152017
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
142020
Package ‘fclust’
P Giordani, MB Ferraro, A Serafini, MP Giordani, I Rcpp, LT Rcpp
Diakses melalui https://cran. r-project. org/web/packages/fclust/fclust. pdf, 2015
132015
Package FCLUST: Fuzzy Clustering
P Giordani, MB Ferraro, A Serafini
CRAN R studio, 2015
122015
Fuzzy k-Means: history and applications
MB Ferraro
Econometrics and Statistics, 2021
112021
A class of two-mode clustering algorithms in a fuzzy setting
MB Ferraro, P Giordani, M Vichi
Econometrics and Statistics 18, 63-78, 2021
92021
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
92013
A proposal of robust regression for random fuzzy sets
MB Ferraro, P Giordani
Synergies of Soft Computing and Statistics for Intelligent Data Analysis …, 2013
82013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20