Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data P D'Urso Computational Statistics & Data Analysis 42 (1-2), 47-72, 2003 | 230 | 2003 |
Autocorrelation-based fuzzy clustering of time series P D’Urso, EA Maharaj Fuzzy Sets and Systems 160 (24), 3565-3589, 2009 | 221 | 2009 |
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 | 221 | 2006 |
A least-squares approach to fuzzy linear regression analysis P D'Urso, T Gastaldi Computational Statistics & Data Analysis 34 (4), 427-440, 2000 | 186 | 2000 |
Time series clustering and classification EA Maharaj, P D'Urso, J Caiado Chapman and Hall/CRC, 2019 | 162 | 2019 |
A weighted fuzzy c-means clustering model for fuzzy data P D’Urso, P Giordani Computational Statistics & Data Analysis 50 (6), 1496-1523, 2006 | 145 | 2006 |
Fuzzy clustering of time series in the frequency domain EA Maharaj, P D’Urso Information Sciences 181 (7), 1187-1211, 2011 | 135 | 2011 |
Robust fuzzy regression analysis P D’Urso, R Massari, A Santoro Information Sciences 181 (19), 4154-4174, 2011 | 115 | 2011 |
GARCH-based robust clustering of time series P D'Urso, L De Giovanni, R Massari Fuzzy Sets and Systems 305, 1-28, 2016 | 107 | 2016 |
Fuzzy segmentation of postmodern tourists P D'Urso, M Disegna, R Massari, L Osti Tourism Management 55, 297-308, 2016 | 105 | 2016 |
A fuzzy clustering model for multivariate spatial time series R Coppi, P D’Urso, P Giordani Journal of Classification 27 (1), 54-88, 2010 | 104 | 2010 |
Wavelets-based clustering of multivariate time series P D'Urso, EA Maharaj Fuzzy Sets and Systems 193, 33-61, 2012 | 103 | 2012 |
Fuzzy and possibilistic clustering for fuzzy data R Coppi, P D’Urso, P Giordani Computational Statistics & Data Analysis 56 (4), 915-927, 2012 | 97 | 2012 |
An “orderwise” polynomial regression procedure for fuzzy data P D'Urso, T Gastaldi Fuzzy sets and systems 130 (1), 1-19, 2002 | 92 | 2002 |
Clustering of financial time series P D’Urso, C Cappelli, D Di Lallo, R Massari Physica A: Statistical Mechanics and its Applications 392 (9), 2114-2129, 2013 | 89 | 2013 |
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 | 89 | 2004 |
Trimmed fuzzy clustering of financial time series based on dynamic time warping P D’Urso, L De Giovanni, R Massari Annals of operations research 299 (1), 1379-1395, 2021 | 83 | 2021 |
Time series clustering J Caiado, EA Maharaj, P D’Urso Handbook of cluster analysis, 241-263, 2015 | 83 | 2015 |
Fuzzy clustering for data time arrays with inlier and outlier time trajectories P D'Urso IEEE Transactions on Fuzzy Systems 13 (5), 583-604, 2005 | 82 | 2005 |
Fuzzy clustering of human activity patterns P D’Urso, R Massari Fuzzy Sets and Systems 215, 29-54, 2013 | 81 | 2013 |