References in zbMATH (referenced in 26 articles , 1 standard article )

Showing results 1 to 20 of 26.
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  1. Cerioli, Andrea; Farcomeni, Alessio; Riani, Marco: Wild adaptive trimming for robust estimation and cluster analysis (2019)
  2. del Barrio, E.; Cuesta-Albertos, J. A.; Matrán, C.; Mayo-Íscar, A.: Robust clustering tools based on optimal transportation (2019)
  3. Rivera-García, Diego; García-Escudero, Luis A.; Mayo-Iscar, Agustín; Ortega, Joaquín: Robust clustering for functional data based on trimming and constraints (2019)
  4. Torti, Francesca; Perrotta, Domenico; Riani, Marco; Cerioli, Andrea: Assessing trimming methodologies for clustering linear regression data (2019)
  5. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  6. Álvarez-Esteban, Pedro C.; Del Barrio, Eustasio; Cuesta-Albertos, Juan A.; Matrán, Carlos: Wide consensus aggregation in the Wasserstein space. Application to location-scatter families (2018)
  7. Chen, Kun; Mishra, Neha; Smyth, Joan; Bar, Haim; Schifano, Elizabeth; Kuo, Lynn; Chen, Ming-Hui: A tailored multivariate mixture model for detecting proteins of concordant change among virulent strains of \textitclostridiumperfringens (2018)
  8. Dotto, Francesco; Farcomeni, Alessio; García-Escudero, Luis Angel; Mayo-Iscar, Agustín: A reweighting approach to robust clustering (2018)
  9. Gallegos, María Teresa; Ritter, Gunter: Probabilistic clustering via Pareto solutions and significance tests (2018)
  10. García-Escudero, Luis Angel; Gordaliza, Alfonso; Greselin, Francesca; Ingrassia, Salvatore; Mayo-Iscar, Agustín: Eigenvalues and constraints in mixture modeling: geometric and computational issues (2018)
  11. García-Escudero, Luis Angel; Greselin, Francesca; Iscar, Agustin Mayo: Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers (2018)
  12. Rocci, Roberto; Gattone, Stefano Antonio; Di Mari, Roberto: A data driven equivariant approach to constrained Gaussian mixture modeling (2018)
  13. Coretto, Pietro; Hennig, Christian: Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering (2017)
  14. Dotto, Francesco; Farcomeni, Alessio; García-Escudero, Luis Angel; Mayo-Iscar, Agustín: A fuzzy approach to robust regression clustering (2017)
  15. García-Escudero, L. A.; Gordaliza, A.; Greselin, F.; Ingrassia, S.; Mayo-Iscar, A.: Robust estimation of mixtures of regressions with random covariates, via trimming and constraints (2017)
  16. Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
  17. García-Escudero, Luis Angel; Gordaliza, Alfonso; Greselin, Francesca; Ingrassia, Salvatore; Mayo-Iscar, Agustín: The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers (2016)
  18. McNicholas, Paul D.: Model-based clustering (2016)
  19. García-Escudero, L. A.; Gordaliza, A.; Matrán, C.; Mayo-Iscar, A.: Avoiding spurious local maximizers in mixture modeling (2015)
  20. Riani, Marco; Cerioli, Andrea; Perrotta, Domenico; Torti, Francesca: Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library (2015)

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