References in zbMATH (referenced in 17 articles )

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

  1. Zhu, Xiaotian; Hunter, David R.: Clustering via finite nonparametric ICA mixture models (2019)
  2. Li, Bing: Sufficient dimension reduction: methods and applications with R (2018)
  3. De Capitani, Lucio; Nicolussi, Federica; Zini, Alessandro: Trivariate Burr-III copula with applications to income data (2017)
  4. Marbac, Matthieu; Sedki, Mohammed: Variable selection for model-based clustering using the integrated complete-data likelihood (2017)
  5. Punzo, Antonio; McNicholas, Paul D.: Parsimonious mixtures of multivariate contaminated normal distributions (2016)
  6. Dang, Utkarsh J.; Browne, Ryan P.; McNicholas, Paul D.: Mixtures of multivariate power exponential distributions (2015)
  7. Vrbik, Irene; McNicholas, Paul D.: Parsimonious skew mixture models for model-based clustering and classification (2014)
  8. Ingrassia, Salvatore; Rocci, Roberto: Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints (2011)
  9. Rocci, Roberto; Gattone, Stefano Antonio; Vichi, Maurizio: A new dimension reduction method: Factor discriminant (K)-means (2011)
  10. Melnykov, Volodymyr; Maitra, Ranjan: Finite mixture models and model-based clustering (2010)
  11. Kinzett, David; Johnston, Mark; Zhang, Mengjie: Numerical simplification for bloat control and analysis of building blocks in genetic programming (2009) ioport
  12. Chris Fraley; Adrian Raftery: Model-based Methods of Classification: Using the mclust Software in Chemometrics (2007) not zbMATH
  13. Beynon, Malcolm J.: An introduction of the condition class space with continuous value discretization and rough set theory (2006)
  14. Beynon, Malcolm J.: Stability of continuous value discretisation: an application within rough set theory (2004)
  15. Schöll, Joachim; Schöll-Paschinger, Elisabeth: Classification by restricted random walks (2003)
  16. Beynon, Malcolm: Reducts within the variable precision rough sets model: A further investigation (2001)
  17. Brunzell, H.; Eriksson, J.: Feature reduction for classification of multidimensional data (2000) ioport