Luis Angel García-Escudero

Gilbert Saporta

Adv. Data Anal. Classif., September, 2024

Special issue on "advances in models and learning for clustering and classification".

[BibT_eX]

[DOI]

Salvatore Ingrassia

Thomas Brendan Murphy

Adv. Data Anal. Classif., March, 2024

2023

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

[BibT_eX]

[DOI]

Lucio Barabesi

Andrea Cerioli

Stat. Comput., December, 2023

Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model.

[BibT_eX]

[DOI]

Andrea Cappozzo

Francesca Greselin

J. Comput. Graph. Stat., 2023

2022

Constrained parsimonious model-based clustering.

[BibT_eX]

[DOI]

Marco Riani

Stat. Comput., 2022

Robust clustering of functional directional data.

[BibT_eX]

[DOI]

Pedro C. Álvarez-Esteban

Adv. Data Anal. Classif., 2022

2021

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

[BibT_eX]

[DOI]

Inf. Sci., 2021

Robust fuzzy clustering of time series based on B-splines.

[BibT_eX]

[DOI]

Pierpaolo D'Urso

Livia De Giovanni

Vincenzina Vitale

Int. J. Approx. Reason., 2021

2020

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

[BibT_eX]

[DOI]

Marco Riani

Stat. Comput., 2020

Time Series, Spectral Densities and Robust Functional Clustering.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Special issue on "Innovations on model based clustering and classification".

[BibT_eX]

[DOI]

Christophe Biernacki

Salvatore Ingrassia

Adv. Data Anal. Classif., 2020

2019

Robust clustering for functional data based on trimming and constraints.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2019

2018

Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample".

[BibT_eX]

[DOI]

Stat. Methods Appl., 2018

A reweighting approach to robust clustering.

[BibT_eX]

[DOI]

Francesco Dotto

Alessio Farcomeni

Stat. Comput., 2018

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

[BibT_eX]

[DOI]

Francesca Greselin

Int. J. Approx. Reason., 2018

Eigenvalues and constraints in mixture modeling: geometric and computational issues.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2018

2017

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

[BibT_eX]

[DOI]

Stat. Comput., 2017

Fitting parabolas in noisy images.

[BibT_eX]

[DOI]

Clara I. Sánchez-Gutiérrez

Comput. Stat. Data Anal., 2017

A fuzzy approach to robust regression clustering.

[BibT_eX]

[DOI]

Francesco Dotto

Alessio Farcomeni

Adv. Data Anal. Classif., 2017

Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2016

Fuzzy Clustering Through Robust Factor Analyzers.

[BibT_eX]

[DOI]

Francesca Greselin

Proceedings of the Soft Methods for Data Science, 2016

Robust Fuzzy Clustering via Trimming and Constraints.

[BibT_eX]

[DOI]

Francesco Dotto

Alessio Farcomeni

Proceedings of the Soft Methods for Data Science, 2016

2015

Comments on: Multivariate functional outlier detection.

[BibT_eX]

[DOI]

Stat. Methods Appl., 2015

Avoiding spurious local maximizers in mixture modeling.

[BibT_eX]

[DOI]

Stat. Comput., 2015

2014

A constrained robust proposal for mixture modeling avoiding spurious solutions.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2014

2013

Grouping Around Different Dimensional Affine Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Statistical Models for Data Analysis, 2013

Comments on: model-based clustering and classification with non-normal mixture distributions.

[BibT_eX]

[DOI]

Stat. Methods Appl., 2013

Robust constrained fuzzy clustering.

[BibT_eX]

[DOI]

Heinrich Fritz

Inf. Sci., 2013

A fast algorithm for robust constrained clustering.

[BibT_eX]

[DOI]

Heinrich Fritz

Comput. Stat. Data Anal., 2013

2012

The influence function of the TCLUST robust clustering procedure.

[BibT_eX]

[DOI]

Christel Ruwet

Adv. Data Anal. Classif., 2012

2011

Exploring the number of groups in robust model-based clustering.

[BibT_eX]

[DOI]

Stat. Comput., 2011

Robust condition monitoring for early detection of broken rotor bars in induction motors.

[BibT_eX]

[DOI]

Oscar Duque-Perez

Daniel Morinigo-Sotelo

Marcelo Perez-Alonso

Expert Syst. Appl., 2011

2010

Practical Aspects of Mixed-Eccentricity Detection in PWM Voltage-Source-Inverter-Fed Induction Motors.

[BibT_eX]

[DOI]

Daniel Morinigo-Sotelo

Oscar Duque-Perez

Marcelo Perez-Alonso

IEEE Trans. Ind. Electron., 2010

Robust clusterwise linear regression through trimming.

[BibT_eX]

[DOI]

Roberto San Martin

Comput. Stat. Data Anal., 2010

A review of robust clustering methods.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2010

2008

Warning procedures for systems that are improving.

[BibT_eX]

[DOI]

Miguel Alejandro Fernández

Oscar Duque

Angel Luis Zorita-Lamadrid

Qual. Reliab. Eng. Int., 2008

2007

The importance of the scales in heterogeneous robust clustering.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

2005

Assessing trends in Duane plots using robust fits.

[BibT_eX]

[DOI]

Miguel Alejandro Fernández

Oscar Duque

Angel Luis Zorita-Lamadrid

Reliab. Eng. Syst. Saf., 2005

A Proposal for Robust Curve Clustering.

[BibT_eX]

[DOI]