AGUSTIN
MAYO ISCAR
PROFESORES TITULARES DE UNIVERSIDAD
LUIS ANGEL
GARCIA ESCUDERO
CATEDRATICOS DE UNIVERSIDAD
Publicaciones en las que colabora con LUIS ANGEL GARCIA ESCUDERO (46)
2024
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Robust clustering based on trimming
Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 16, Núm. 4
2023
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Consistency factor for the MCD estimator at the Student-t distribution
Statistics and Computing, Vol. 33, Núm. 6
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Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model
Journal of Computational and Graphical Statistics, Vol. 32, Núm. 3, pp. 1195-1214
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Old and New Constraints in Model Based Clustering
Studies in Classification, Data Analysis, and Knowledge Organization
2022
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Constrained parsimonious model-based clustering
Statistics and Computing, Vol. 32, Núm. 1
2021
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Cluster analysis with cellwise trimming and applications for the robust clustering of curves
Information Sciences, Vol. 573, pp. 100-124
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Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
STATS, Vol. 4, Núm. 3, pp. 602-615
2020
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Model-based clustering with determinant-and-shape constraint
Statistics and Computing, Vol. 30, Núm. 5, pp. 1363-1380
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Stationary intervals for random waves by functional clustering of spectral densities
Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
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Time Series, Spectral Densities and Robust Functional Clustering
Neural Processing Letters, Vol. 52, Núm. 1, pp. 135-152
2019
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Robust clustering for functional data based on trimming and constraints
Advances in Data Analysis and Classification, Vol. 13, Núm. 1, pp. 201-225
2018
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A reweighting approach to robust clustering
Statistics and Computing, Vol. 28, Núm. 2, pp. 477-493
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Comments on “The power of monitoring: how to make the most of a contaminated multivariate sample”
Statistical Methods and Applications, Vol. 27, Núm. 4, pp. 605-608
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Eigenvalues and constraints in mixture modeling: Geometric and computational issues
Advances in Data Analysis and Classification, Vol. 12, Núm. 2, pp. 203-233
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Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods
Journal of Computational and Graphical Statistics, Vol. 27, Núm. 2, pp. 404-416
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Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints
Studies in Systems, Decision and Control (Springer International Publishing), pp. 155-164
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Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers
International Journal of Approximate Reasoning, Vol. 94, pp. 60-75
2017
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A fuzzy approach to robust regression clustering
Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 691-710
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Fitting parabolas in noisy images
Computational Statistics and Data Analysis, Vol. 112, pp. 80-87
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Fuzzy clustering through robust factor analyzers
Advances in Intelligent Systems and Computing