203 citations · 276 across the 11 of their papers we have counts for
6 papers · 1 filter
Robust fuzzy clustering with cellwise outliers
Giorgia Zaccaria, Lorenzo Benzakour, Luis A. García-Escudero +2
In a data matrix, we may distinguish between cases, each represented by a row vector for a statistical unit, and cells, which correspond to single entries of the data matrix. Recen…
Cellwise outlier detection in heterogeneous populations
Giorgia Zaccaria, Luis A. García-Escudero, Francesca Greselin +1
Real-world applications may be affected by outlying values. In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the…
Choice of trimming proportion and number of clusters in robust clustering based on trimming
Luis Angel García-Escudero, Christian Hennig, Agustín Mayo-Iscar +2
So-called "classification trimmed likelihood curves" have been proposed as a useful heuristic tool to determine the number of clusters and trimming proportion in trimming-based rob…
Robust clustering tools based on optimal transportation
E. del Barrio, J. A. Cuesta-Albertos, C. Matrán +1
A robust clustering method for probabilities in Wasserstein space is introduced. This new "trimmed -barycenters" approach relies on recent results on barycenters in Wasserstein…
Robust estimation for mixtures of Gaussian factor analyzers, based on trimming and constraints
L. A. García-Escudero, A. Gordaliza, F. Greselin +2
Mixtures of Gaussian factors are powerful tools for modeling an unobserved heterogeneous population, offering - at the same time - dimension reduction and model-based clustering. U…
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints
L. A. Garcia-Escudero, A. Gordaliza, F. Greselin +2
A robust estimator for a wide family of mixtures of linear regression is presented. Robustness is based on the joint adoption of the Cluster Weighted Model and of an estimator base…