A general trimming approach to robust cluster analysis LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar | 300 | 2008 |
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 | 243 | 2010 |
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 | 236 | 1999 |
A proposal for robust curve clustering LA Garcia-Escudero, A Gordaliza Journal of classification 22 (2), 185-201, 2005 | 140 | 2005 |
tclust: An R package for a trimming approach to cluster analysis H Fritz, LA García-Escudero, A Mayo-Iscar Journal of Statistical Software 47, 1-26, 2012 | 131 | 2012 |
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 | 95 | 2010 |
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 | 94 | 2011 |
Multivariate L-estimation R Fraiman, J Meloche, LA García-Escudero, A Gordaliza, X He, ... Test 8, 255-317, 1999 | 92 | 1999 |
Trimming tools in exploratory data analysis LA García-Escudero, A Gordaliza, C Matrán Journal of Computational and Graphical Statistics 12 (2), 434-449, 2003 | 91 | 2003 |
A fast algorithm for robust constrained clustering H Fritz, LA García-Escudero, A Mayo-Iscar Computational Statistics & Data Analysis 61, 124-136, 2013 | 75 | 2013 |
Practical aspects of mixed-eccentricity detection in PWM voltage-source-inverter-fed induction motors D Morinigo-Sotelo, LA Garcia-Escudero, O Duque-Perez, M Perez-Alonso IEEE Transactions on Industrial Electronics 57 (1), 252-262, 2009 | 71 | 2009 |
Robust condition monitoring for early detection of broken rotor bars in induction motors LA García-Escudero, O Duque-Perez, D Morinigo-Sotelo, M Perez-Alonso Expert Systems with Applications 38 (3), 2653-2660, 2011 | 59 | 2011 |
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 | 58 | 2009 |
Avoiding spurious local maximizers in mixture modeling LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar Statistics and Computing 25, 619-633, 2015 | 48 | 2015 |
A statistical modeling approach to detect anomalies in energetic efficiency of buildings AL Zorita, MA Fernández-Temprano, LA García-Escudero, ... Energy and Buildings 110, 377-386, 2016 | 47 | 2016 |
Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using ANOVA and additive models O Duque-Perez, LA Garcia-Escudero, D Morinigo-Sotelo, PE Gardel, ... Electric Power Systems Research 121, 1-13, 2015 | 43 | 2015 |
Finding the number of normal groups in model-based clustering via constrained likelihoods A Cerioli, LA García-Escudero, A Mayo-Iscar, M Riani Journal of Computational and Graphical Statistics 27 (2), 404-416, 2018 | 39 | 2018 |
A central limit theorem for multivariate generalized trimmed k-means LA García-Escudero, A Gordaliza, C Matrán Annals of statistics, 1061-1079, 1999 | 39 | 1999 |
Robust constrained fuzzy clustering H Fritz, LA García-Escudero, A Mayo-Iscar Information Sciences 245, 38-52, 2013 | 38 | 2013 |
A reweighting approach to robust clustering F Dotto, A Farcomeni, LA García-Escudero, A Mayo-Iscar Statistics and Computing 28, 477-493, 2018 | 37 | 2018 |