References in zbMATH (referenced in 70 articles )

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

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