Publicaciones en las que colabora con LUIS ANGEL GARCIA ESCUDERO (46)

2024

  1. Robust clustering based on trimming

    Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 16, Núm. 4

2023

  1. Consistency factor for the MCD estimator at the Student-t distribution

    Statistics and Computing, Vol. 33, Núm. 6

  2. 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

  3. Old and New Constraints in Model Based Clustering

    Studies in Classification, Data Analysis, and Knowledge Organization

2022

  1. Constrained parsimonious model-based clustering

    Statistics and Computing, Vol. 32, Núm. 1

2021

  1. Cluster analysis with cellwise trimming and applications for the robust clustering of curves

    Information Sciences, Vol. 573, pp. 100-124

  2. Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling

    STATS, Vol. 4, Núm. 3, pp. 602-615

2020

  1. Model-based clustering with determinant-and-shape constraint

    Statistics and Computing, Vol. 30, Núm. 5, pp. 1363-1380

  2. Stationary intervals for random waves by functional clustering of spectral densities

    Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE

  3. Time Series, Spectral Densities and Robust Functional Clustering

    Neural Processing Letters, Vol. 52, Núm. 1, pp. 135-152

2019

  1. Robust clustering for functional data based on trimming and constraints

    Advances in Data Analysis and Classification, Vol. 13, Núm. 1, pp. 201-225

2018

  1. A reweighting approach to robust clustering

    Statistics and Computing, Vol. 28, Núm. 2, pp. 477-493

  2. 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

  3. Eigenvalues and constraints in mixture modeling: Geometric and computational issues

    Advances in Data Analysis and Classification, Vol. 12, Núm. 2, pp. 203-233

  4. 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

  5. Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints

    Studies in Systems, Decision and Control (Springer International Publishing), pp. 155-164

  6. Robust, fuzzy, and parsimonious clustering, based on mixtures of Factor Analyzers

    International Journal of Approximate Reasoning, Vol. 94, pp. 60-75

2017

  1. A fuzzy approach to robust regression clustering

    Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 691-710

  2. Fitting parabolas in noisy images

    Computational Statistics and Data Analysis, Vol. 112, pp. 80-87

  3. Fuzzy clustering through robust factor analyzers

    Advances in Intelligent Systems and Computing