203 citations · 203 across the 3 of their papers we have counts for
3 papers
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…
A general trimming approach to robust Cluster Analysis
Luis A. García-Escudero, Alfonso Gordaliza, Carlos Matrán +1
We introduce a new method for performing clustering with the aim of fitting clusters with different scatters and weights. It is designed by allowing to handle a proportion of c…