References in zbMATH (referenced in 68 articles )

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  1. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  2. Papastamoulis, Panagiotis: Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components (2020)
  3. Cappozzo, Andrea; Greselin, Francesca: Detecting wine adulterations employing robust mixture of factor analyzers (2019)
  4. Kim, Nam-Hwui; Browne, Ryan: Subspace clustering for the finite mixture of generalized hyperbolic distributions (2019)
  5. Marbac, Matthieu; Vandewalle, Vincent: A tractable multi-partitions clustering (2019)
  6. Fop, Michael; Murphy, Thomas Brendan: Variable selection methods for model-based clustering (2018)
  7. Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele: Modelling the role of variables in model-based cluster analysis (2018)
  8. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
  9. Papastamoulis, Panagiotis: Overfitting Bayesian mixtures of factor analyzers with an unknown number of components (2018)
  10. Wallace, Meredith L.; Buysse, Daniel J.; Germain, Anne; Hall, Martica H.; Iyengar, Satish: Variable selection for skewed model-based clustering: application to the identification of novel sleep phenotypes (2018)
  11. Dang, Utkarsh J.; Punzo, Antonio; McNicholas, Paul D.; Ingrassia, Salvatore; Browne, Ryan P.: Multivariate response and parsimony for Gaussian cluster-weighted models (2017)
  12. Hui, Francis K. C.: Model-based simultaneous clustering and ordination of multivariate abundance data in ecology (2017)
  13. Murray, Paula M.; Browne, Ryan P.; McNicholas, Paul D.: Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering (2017)
  14. Naderi, Mehrdad; Arabpour, Alireza; Lin, Tsung-I; Jamalizadeh, Ahad: Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution (2017)
  15. Punzo, Antonio; McNicholas, Paul. D.: Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model (2017)
  16. Ranalli, Monia; Rocci, Roberto: A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (2017)
  17. Wang, Wan-Lun; Liu, Min; Lin, Tsung-I: Robust skew-(t) factor analysis models for handling missing data (2017)
  18. Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
  19. Berta, Paolo; Ingrassia, Salvatore; Punzo, Antonio; Vittadini, Giorgio: Multilevel cluster-weighted models for the evaluation of hospitals (2016)
  20. Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele: Using mixtures in seemingly unrelated linear regression models with non-normal errors (2016)

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