mixture

R package mixture: Mixture Models for Clustering and Classification. An implementation of all 14 Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification.

Keywords for this software

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References in zbMATH (referenced in 22 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. Gallaugher, Michael P. B.; McNicholas, Paul D.: On fractionally-supervised classification: weight selection and extension to the multivariate (t)-distribution (2019)
  4. Rainey, Christopher; Tortora, Cristina; Palumbo, Francesco: A parametric version of probabilistic distance clustering (2019)
  5. Tortora, Cristina; Franczak, Brian C.; Browne, Ryan P.; McNicholas, Paul D.: A mixture of coalesced generalized hyperbolic distributions (2019)
  6. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  7. Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele: Modelling the role of variables in model-based cluster analysis (2018)
  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. 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)
  10. Dang, Utkarsh J.; Punzo, Antonio; McNicholas, Paul D.; Ingrassia, Salvatore; Browne, Ryan P.: Multivariate response and parsimony for Gaussian cluster-weighted models (2017)
  11. Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
  12. McNicholas, Paul D.: Model-based clustering (2016)
  13. Punzo, Antonio; Browne, Ryan P.; Mcnicholas, Paul D.: Hypothesis testing for mixture model selection (2016)
  14. Punzo, Antonio; McNicholas, Paul D.: Parsimonious mixtures of multivariate contaminated normal distributions (2016)
  15. Tortora, Cristina; McNicholas, Paul D.; Browne, Ryan P.: A mixture of generalized hyperbolic factor analyzers (2016)
  16. Dang, Utkarsh J.; Browne, Ryan P.; McNicholas, Paul D.: Mixtures of multivariate power exponential distributions (2015)
  17. Tang, Yang; Browne, Ryan P.; McNicholas, Paul D.: Model based clustering of high-dimensional binary data (2015)
  18. Wei, Yuhong; McNicholas, Paul D.: Mixture model averaging for clustering (2015)
  19. Browne, Ryan P.; McNicholas, Paul D.: Estimating common principal components in high dimensions (2014)
  20. Vrbik, Irene; McNicholas, Paul D.: Parsimonious skew mixture models for model-based clustering and classification (2014)

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