203 citations · 206 across the 4 of their papers we have counts for
4 papers
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…
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…