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ORCIDStefano Antonio Gattone
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2010 – 2019
- 2018
[j6]Roberto Rocci, Stefano Antonio Gattone
, Roberto Di Mari:
A data driven equivariant approach to constrained Gaussian mixture modeling. Adv. Data Anal. Classif. 12(2): 235-260 (2018)- [j5]Stefano Antonio Gattone, Angela de Sanctis, Stéphane Puechmorel, Florence Nicol:
On the Geodesic Distance in Shapes K-means Clustering. Entropy 20(9): 647 (2018) - 2017
- [j4]Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone:
Clusterwise linear regression modeling with soft scale constraints. Int. J. Approx. Reason. 91: 160-178 (2017) - [c2]Giulia Caruso, Stefano Antonio Gattone, Francesca Fortuna, Tonio Di Battista:
Cluster Analysis as a Decision-Making Tool: A Methodological Review. Decision Economics@DCAI 2017: 48-55 - 2016
- [c1]Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone:
Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation. SMPS 2016: 181-186 - 2011
- [j3]Pasquale Valentini, Tonio Di Battista, Stefano Antonio Gattone:
Heterogeneity Measures in Customer Satisfaction Analysis. J. Classif. 28(1): 38-52 (2011) - [j2]Roberto Rocci, Stefano Antonio Gattone, Maurizio Vichi:
A New Dimension Reduction Method: Factor Discriminant K-means. J. Classif. 28(2): 210-226 (2011) - [j1]Stefano Antonio Gattone, Tonio Di Battista:
Adaptive cluster sampling with a data driven stopping rule. Stat. Methods Appl. 20(1): 1-21 (2011)
Coauthor Index
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