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Alfonso Gordaliza
Alfonso Gordaliza
Professor of Statistics, Universidad de Vallaodlid
Verified email at eio.uva.es - Homepage
Title
Cited by
Cited by
Year
Trimmed -means: an attempt to robustify quantizers
JA Cuesta-Albertos, A Gordaliza, C Matrán
The Annals of Statistics 25 (2), 553-576, 1997
3801997
A general trimming approach to robust cluster analysis
LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar
2952008
A review of robust clustering methods
LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar
Advances in Data Analysis and Classification 4, 89-109, 2010
2392010
Robustness Properties of k Means and Trimmed k Means
LA Garcia-Escudero, A Gordaliza
Journal of the American Statistical Association 94 (447), 956-969, 1999
2321999
A proposal for robust curve clustering
LA Garcia-Escudero, A Gordaliza
Journal of classification 22 (2), 185-201, 2005
1382005
A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort
E Rodriguez-Lizundia, S Marcos, E Zalama, J Gómez-García-Bermejo, ...
International Journal of Human-Computer Studies 82, 83-95, 2015
1242015
Multivariate L-estimation
R Fraiman, J Meloche, LA García-Escudero, A Gordaliza, X He, ...
Test 8, 255-317, 1999
961999
Exploring the number of groups in robust model-based clustering
LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar
Statistics and Computing 21 (4), 585-599, 2011
922011
Robust clusterwise linear regression through trimming
LA García-Escudero, A Gordaliza, A Mayo-Iscar, R San Martín
Computational Statistics & Data Analysis 54 (12), 3057-3069, 2010
922010
Trimming tools in exploratory data analysis
LA García-Escudero, A Gordaliza, C Matrán
Journal of Computational and Graphical Statistics 12 (2), 434-449, 2003
892003
Best approximations to random variables based on trimming procedures
A Gordaliza
Journal of Approximation Theory 64 (2), 162-180, 1991
871991
Robust linear clustering
LA García-Escudero, A Gordaliza, R San Martin, S Van Aelst, R Zamar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009
562009
Avoiding spurious local maximizers in mixture modeling
LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar
Statistics and Computing 25, 619-633, 2015
472015
A central limit theorem for multivariate generalized trimmed k-means
LA García-Escudero, A Gordaliza, C Matrán
Annals of statistics, 1061-1079, 1999
381999
A constrained robust proposal for mixture modeling avoiding spurious solutions
LA García-Escudero, A Gordaliza, A Mayo-Íscar
Advances in Data Analysis and Classification 8 (1), 27-43, 2014
332014
On the breakdown point of multivariate location estimators based on trimming procedures
A Gordaliza
Statistics & Probability Letters 11 (5), 387-394, 1991
321991
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints
LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Íscar
Statistics and Computing 27, 377-402, 2017
292017
On the breakdown behavior of the TCLUST clustering procedure
C Ruwet, LA Garcia-Escudero, A Gordaliza, A Mayo-Iscar
Test 22, 466-487, 2013
25*2013
Generalized radius processes for elliptically contoured distributions
LA García-Escudero, A Gordaliza
Journal of the American Statistical Association 100 (471), 1036-1045, 2005
252005
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers
LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Iscar
Computational Statistics & Data Analysis 99, 131-147, 2016
232016
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