Alfonso Gordaliza

Orcid: 0000-0002-0343-2154

According to our database1, Alfonso Gordaliza authored at least 17 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Influence on the user's emotional state of the graphic complexity level in virtual therapies based on a robot-assisted neuro-rehabilitation platform.
Comput. Methods Programs Biomed., 2020

2018
Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample".
Stat. Methods Appl., 2018

Eigenvalues and constraints in mixture modeling: geometric and computational issues.
Adv. Data Anal. Classif., 2018

2017
Robust estimation of mixtures of regressions with random covariates, via trimming and constraints.
Stat. Comput., 2017

2016
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers.
Comput. Stat. Data Anal., 2016

2015
Comments on: Multivariate functional outlier detection.
Stat. Methods Appl., 2015

Avoiding spurious local maximizers in mixture modeling.
Stat. Comput., 2015

A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort.
Int. J. Hum. Comput. Stud., 2015

2014
A constrained robust proposal for mixture modeling avoiding spurious solutions.
Adv. Data Anal. Classif., 2014

2013
Grouping Around Different Dimensional Affine Subspaces.
Proceedings of the Statistical Models for Data Analysis, 2013

Comments on: model-based clustering and classification with non-normal mixture distributions.
Stat. Methods Appl., 2013

2012
The influence function of the TCLUST robust clustering procedure.
Adv. Data Anal. Classif., 2012

2011
Exploring the number of groups in robust model-based clustering.
Stat. Comput., 2011

2010
Robust clusterwise linear regression through trimming.
Comput. Stat. Data Anal., 2010

A review of robust clustering methods.
Adv. Data Anal. Classif., 2010

2007
The importance of the scales in heterogeneous robust clustering.
Comput. Stat. Data Anal., 2007

2005
A Proposal for Robust Curve Clustering.
J. Classif., 2005


  Loading...