Least squares estimation of a linear regression model with LR fuzzy response R Coppi, P D’Urso, P Giordani, A Santoro Computational Statistics & Data Analysis 51 (1), 267-286, 2006 | 209 | 2006 |
A weighted fuzzy c-means clustering model for fuzzy data P D’Urso, P Giordani Computational Statistics & Data Analysis 50 (6), 1496-1523, 2006 | 140 | 2006 |
A toolbox for fuzzy clustering using the R programming language MB Ferraro, G Paolo Fuzzy Sets & Systems, 2015 | 112 | 2015 |
A fuzzy clustering model for multivariate spatial time series R Coppi, P D’Urso, P Giordani Journal of Classification 27 (1), 54-88, 2010 | 99 | 2010 |
Fuzzy and possibilistic clustering for fuzzy data R Coppi, P D’Urso, P Giordani Computational Statistics & Data Analysis 56 (4), 915-927, 2012 | 92 | 2012 |
A least squares approach to principal component analysis for interval valued data P D'Urso, P Giordani Chemometrics and intelligent laboratory systems 70 (2), 179-192, 2004 | 82 | 2004 |
Endotypes of pollen‐food syndrome in children with seasonal allergic rhinoconjunctivitis: a molecular classification C Mastrorilli, S Tripodi, C Caffarelli, S Perna, D Rienzo‐Businco, I Sfika, ... Allergy 71 (8), 1181-1191, 2016 | 77 | 2016 |
fclust: an R package for fuzzy clustering MB Ferraro, P Giordani, A Serafini The R Journal 11 (01), 2019 | 75 | 2019 |
fclust: an R package for fuzzy clustering MB Ferraro, P Giordani SIS 2014, 2014 | 75* | 2014 |
The impact of tele-monitoring on adherence to nasal corticosteroid treatment in children with seasonal allergic rhinoconjunctivitis A Pizzulli, S Perna, J Florack, A Pizzulli, P Giordani, S Tripodi, S Pelosi, ... Clinical & Experimental Allergy 44 (10), 1246–1254, 2014 | 73 | 2014 |
Introduction to Clustering P Giordani, MB Ferraro, F Martella An Introduction to Clustering with R, 3-5, 2020 | 66 | 2020 |
Three-way component analysis using the R package ThreeWay P Giordani, H Kiers, M Del Ferraro Journal of Statistical Software 57 (7), 2014 | 64 | 2014 |
Component models for fuzzy data R Coppi, P Giordani, P D’Urso Psychometrika 71 (4), 733-761, 2006 | 62 | 2006 |
An Assessment of the Psychometric Properties of Italian Version of CPGI E Colasante, M Gori, L Bastiani, V Siciliano, P Giordani, M Grassi, ... Journal of Gambling Studies 29 (4), 765-774, 2013 | 61 | 2013 |
Principal component analysis of symmetric fuzzy data P Giordani, HAL Kiers Computational statistics & data analysis 45 (3), 519-548, 2004 | 61 | 2004 |
A comparison of three methods for principal component analysis of fuzzy interval data P Giordani, HAL Kiers Computational Statistics & Data Analysis 51 (1), 379-397, 2006 | 56 | 2006 |
Lasso-constrained regression analysis for interval-valued data P Giordani Advances in Data Analysis and Classification 9 (1), 5-19, 2015 | 45 | 2015 |
A robust fuzzy k-means clustering model for interval valued data P D’Urso, P Giordani Computational Statistics 21, 251-269, 2006 | 45 | 2006 |
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 |