Luis Angel García-Escudero

Orcid: 0000-0002-7617-3034

According to our database1, Luis Angel García-Escudero authored at least 38 papers between 2005 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Special issue on "advances in models and learning for clustering and classification".
Adv. Data Anal. Classif., March, 2024

2023
Consistency factor for the MCD estimator at the Student-t distribution.
Stat. Comput., December, 2023

2022
Constrained parsimonious model-based clustering.
Stat. Comput., 2022

Robust clustering of functional directional data.
Adv. Data Anal. Classif., 2022

2021
Cluster analysis with cellwise trimming and applications for the robust clustering of curves.
Inf. Sci., 2021

Robust fuzzy clustering of time series based on B-splines.
Int. J. Approx. Reason., 2021

2020
Model-based clustering with determinant-and-shape constraint.
Stat. Comput., 2020

Time Series, Spectral Densities and Robust Functional Clustering.
Neural Process. Lett., 2020

Special issue on "Innovations on model based clustering and classification".
Adv. Data Anal. Classif., 2020

2019
Robust clustering for functional data based on trimming and constraints.
Adv. Data Anal. Classif., 2019

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

A reweighting approach to robust clustering.
Stat. Comput., 2018

Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers.
Int. J. Approx. Reason., 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

Fitting parabolas in noisy images.
Comput. Stat. Data Anal., 2017

A fuzzy approach to robust regression clustering.
Adv. Data Anal. Classif., 2017

Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis.
Proceedings of the Advances in Computational Intelligence, 2017

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

Fuzzy Clustering Through Robust Factor Analyzers.
Proceedings of the Soft Methods for Data Science, 2016

Robust Fuzzy Clustering via Trimming and Constraints.
Proceedings of the Soft Methods for Data Science, 2016

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

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

Robust constrained fuzzy clustering.
Inf. Sci., 2013

A fast algorithm for robust constrained clustering.
Comput. Stat. Data Anal., 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

Robust condition monitoring for early detection of broken rotor bars in induction motors.
Expert Syst. Appl., 2011

2010
Practical Aspects of Mixed-Eccentricity Detection in PWM Voltage-Source-Inverter-Fed Induction Motors.
IEEE Trans. Ind. Electron., 2010

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

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

2008
Warning procedures for systems that are improving.
Qual. Reliab. Eng. Int., 2008

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

2005
Assessing trends in Duane plots using robust fits.
Reliab. Eng. Syst. Saf., 2005

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


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