203 citations · 276 across the 11 of their papers we have counts for
11 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…
optimalFlow: Optimal-transport approach to flow cytometry gating and population matching
Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes +2
Data obtained from Flow Cytometry present pronounced variability due to biological and technical reasons. Biological variability is a well-known phenomenon produced by measurements…
Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Iscar +1
In this work a robust clustering algorithm for stationary time series is proposed. The algorithm is based on the use of estimated spectral densities, which are considered as functi…
Robust clustering for functional data based on trimming and constraints
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Iscar +1
Many clustering algorithms when the data are curves or functions have been recently proposed. However, the presence of contamination in the sample of curves can influence the perfo…