References in zbMATH (referenced in 16 articles , 1 standard article )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Kim, Nam-Hwui; Browne, Ryan P.: In the pursuit of sparseness: a new rank-preserving penalty for a finite mixture of factor analyzers (2021)
  2. Punzo, Antonio; Tortora, Cristina: Multiple scaled contaminated normal distribution and its application in clustering (2021)
  3. Farcomeni, Alessio; Punzo, Antonio: Robust model-based clustering with mild and gross outliers (2020)
  4. García-Escudero, Luis Angel; Mayo-Iscar, Agustín; Riani, Marco: Model-based clustering with determinant-and-shape constraint (2020)
  5. Dotto, Francesco; Farcomeni, Alessio: Robust inference for parsimonious model-based clustering (2019)
  6. Gallaugher, Michael P. B.; McNicholas, Paul D.: On fractionally-supervised classification: weight selection and extension to the multivariate (t)-distribution (2019)
  7. Rainey, Christopher; Tortora, Cristina; Palumbo, Francesco: A parametric version of probabilistic distance clustering (2019)
  8. 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
  9. Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
  10. McNicholas, Paul D.: Model-based clustering (2016)
  11. Morris, Katherine; McNicholas, Paul D.: Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (2016)
  12. Arnošt Komárek; Lenka Komárková: Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data (2014) not zbMATH
  13. Vrbik, Irene; McNicholas, Paul D.: Parsimonious skew mixture models for model-based clustering and classification (2014)
  14. McNicholas, Paul D.; Browne, Ryan P.; Murray, Paula M.: Discussion of `Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan (2013)
  15. Morris, Katherine; McNicholas, Paul D.: Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions (2013)
  16. Morris, Katherine; McNicholas, Paul D.; Scrucca, Luca: Dimension reduction for model-based clustering via mixtures of multivariate (t)-distributions (2013)