Editorial: Statistical/soft approaches and computing for data analysis and classification.

Alfonso Gordaliza https://orcid.org/0000-0002-0343-2154 https://www.wikidata.org/entity/Q14130604 https://mathgenealogy.org/id.php?id=168374 https://zbmath.org/authors/?q=ai:gordaliza.alfonso https://scholar.google.com/citations?user=Apv4fZQAAAAJ

Alfonso Gordaliza Agustín Mayo-Íscar María Asunción Lubiano Beatriz Sinova Editorial: Statistical/soft approaches and computing for data analysis and classification. 109361 2025 179 Int. J. Approx. Reason. https://doi.org/10.1016/j.ijar.2025.109361 db/journals/ijar/ijar179.html#GordalizaMLS25 streams/journals/ijar

Borja F. Villar Pablo Viñas Javier Pérez Turiel Juan Carlos Fraile Marinero Alfonso Gordaliza Influence on the user's emotional state of the graphic complexity level in virtual therapies based on a robot-assisted neuro-rehabilitation platform. 105359 2020 190 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2020.105359 https://www.wikidata.org/entity/Q89611609 db/journals/cmpb/cmpb190.html#VillarVTMG20

Luis Angel García-Escudero Alfonso Gordaliza Francesca Greselin Salvatore Ingrassia Agustín Mayo-Íscar Eigenvalues and constraints in mixture modeling: geometric and computational issues. 203-233 2018 12 Adv. Data Anal. Classif. 2 https://doi.org/10.1007/s11634-017-0293-y db/journals/adac/adac12.html#Garcia-Escudero18

Luis Angel García-Escudero Alfonso Gordaliza Carlos Matrán Agustín Mayo-Íscar Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample". 605-608 2018 27 Stat. Methods Appl. 4 https://doi.org/10.1007/s10260-017-0415-x db/journals/sma/sma27.html#Garcia-Escudero18

Luis Angel García-Escudero Alfonso Gordaliza Francesca Greselin Salvatore Ingrassia Agustín Mayo-Íscar Robust estimation of mixtures of regressions with random covariates, via trimming and constraints. 377-402 2017 27 Stat. Comput. 2 https://doi.org/10.1007/s11222-016-9628-3 db/journals/sac/sac27.html#Garcia-Escudero17

Luis Angel García-Escudero Alfonso Gordaliza Francesca Greselin Salvatore Ingrassia Agustín Mayo-Íscar The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers. 131-147 2016 99 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2016.01.005 db/journals/csda/csda99.html#Garcia-Escudero16

Eduardo Rodriguez-Lizundia Samuel Marcos Eduardo Zalama Casanova Jaime Gómez García-Bermejo Alfonso Gordaliza A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort. 83-95 2015 82 Int. J. Hum. Comput. Stud. https://doi.org/10.1016/j.ijhcs.2015.06.001 db/journals/ijmms/ijmms82.html#Rodriguez-Lizundia15

Luis Angel García-Escudero Alfonso Gordaliza Carlos Matrán Agustín Mayo-Íscar Avoiding spurious local maximizers in mixture modeling. 619-633 2015 25 Stat. Comput. 3 https://doi.org/10.1007/s11222-014-9455-3 db/journals/sac/sac25.html#Garcia-Escudero15

Luis Angel García-Escudero Alfonso Gordaliza Agustín Mayo-Íscar Comments on: Multivariate functional outlier detection. 233-235 2015 24 Stat. Methods Appl. 2 https://doi.org/10.1007/s10260-015-0308-9 db/journals/sma/sma24.html#Garcia-Escudero15

Luis Angel García-Escudero Alfonso Gordaliza Agustín Mayo-Íscar A constrained robust proposal for mixture modeling avoiding spurious solutions. 27-43 2014 8 Adv. Data Anal. Classif. 1 https://doi.org/10.1007/s11634-013-0153-3 db/journals/adac/adac8.html#Garcia-EscuderoGM14

Luis Angel García-Escudero Alfonso Gordaliza Agustín Mayo-Íscar Comments on: model-based clustering and classification with non-normal mixture distributions. 459-461 2013 22 Stat. Methods Appl. 4 https://doi.org/10.1007/s10260-013-0245-4 db/journals/sma/sma22.html#Garcia-EscuderoGM13

Luis Angel García-Escudero Alfonso Gordaliza Carlos Matrán Agustín Mayo-Íscar Grouping Around Different Dimensional Affine Subspaces. 131-139 2013 Statistical Models for Data Analysis https://doi.org/10.1007/978-3-319-00032-9_16 series/class/331900031 db/series/class/class331900031.html#Garcia-EscuderoGMM13

Christel Ruwet Luis Angel García-Escudero Alfonso Gordaliza Agustín Mayo-Íscar The influence function of the TCLUST robust clustering procedure. 107-130 2012 6 Adv. Data Anal. Classif. 2 https://doi.org/10.1007/s11634-012-0107-1 db/journals/adac/adac6.html#RuwetGGM12

Luis Angel García-Escudero Alfonso Gordaliza Carlos Matrán Agustín Mayo-Íscar Exploring the number of groups in robust model-based clustering. 585-599 2011 21 Stat. Comput. 4 https://doi.org/10.1007/s11222-010-9194-z db/journals/sac/sac21.html#Garcia-EscuderoGMM11

Luis Angel García-Escudero Alfonso Gordaliza Carlos Matrán Agustín Mayo-Íscar A review of robust clustering methods. 89-109 2010 4 Adv. Data Anal. Classif. 2-3 https://doi.org/10.1007/s11634-010-0064-5 db/journals/adac/adac4.html#Garcia-EscuderoGMM10

Luis Angel García-Escudero Alfonso Gordaliza Agustín Mayo-Íscar Roberto San Martin 0002 Robust clusterwise linear regression through trimming. 3057-3069 2010 54 Comput. Stat. Data Anal. 12 https://doi.org/10.1016/j.csda.2009.07.002 db/journals/csda/csda54.html#Garcia-EscuderoGMM10

Luis Angel García-Escudero Alfonso Gordaliza The importance of the scales in heterogeneous robust clustering. 4403-4412 2007 51 Comput. Stat. Data Anal. 9 https://doi.org/10.1016/j.csda.2006.06.014 db/journals/csda/csda51.html#Garcia-EscuderoG07

Luis Angel García-Escudero Alfonso Gordaliza A Proposal for Robust Curve Clustering. 185-201 2005 22 J. Classif. 2 https://doi.org/10.1007/s00357-005-0013-8 db/journals/classification/classification22.html#Garcia-EscuderoG05

Eduardo Zalama Casanova Jaime Gómez García-Bermejo Luis Angel García-Escudero Francesca Greselin Salvatore Ingrassia María Asunción Lubiano Samuel Marcos Juan Carlos Fraile Marinero Roberto San Martin 0002 Carlos Matrán Agustín Mayo-Íscar Eduardo Rodriguez-Lizundia Christel Ruwet Beatriz Sinova Javier Pérez Turiel Borja F. Villar Pablo Viñas