References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Coretto, Pietro: Estimation and computations for Gaussian mixtures with uniform noise under separation constraints (2022)
  2. Hennig, Christian: An empirical comparison and characterisation of nine popular clustering methods (2022)
  3. Lee, Sharon X.; McLachlan, Geoffrey J.: An overview of skew distributions in model-based clustering (2022)
  4. Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna: Better than the best? Answers via model ensemble in density-based clustering (2021)
  5. Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas: Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package (2021) not zbMATH
  6. Melnykov, Yana; Zhu, Xuwen; Melnykov, Volodymyr: Transformation mixture modeling for skewed data groups with heavy tails and scatter (2021)
  7. Denœux, Thierry: Calibrated model-based evidential clustering using bootstrapping (2020)
  8. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  9. Pereira, Marcos Antonio Alves; Russo, Cibele Maria: Nonlinear mixed-effects models with scale mixture of skew-normal distributions (2019)
  10. Jeffrey Andrews; Jaymeson Wickins; Nicholas Boers; Paul McNicholas: teigen: An R Package for Model-Based Clustering and Classification via the Multivariate t Distribution (2018) not zbMATH
  11. Zhu, Xuwen: Variable diagnostics in model-based clustering through variation partition (2018)
  12. Zhu, Xuwen; Melnykov, Volodymyr: Manly transformation in finite mixture modeling (2018)
  13. Murray, Paula M.; Browne, Ryan P.; McNicholas, Paul D.: Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering (2017)
  14. Azzalini, Adelchi; Browne, Ryan P.; Genton, Marc G.; McNicholas, Paul D.: On nomenclature for, and the relative merits of, two formulations of skew distributions (2016)
  15. Tortora, Cristina; McNicholas, Paul D.; Browne, Ryan P.: A mixture of generalized hyperbolic factor analyzers (2016)
  16. Liu, M.; Lin, T. I.: Skew-normal factor analysis models with incomplete data (2015)
  17. Sharon X. Lee, Geoffrey J. McLachlan: EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions (2015) arXiv