References in zbMATH (referenced in 25 articles )

Showing results 1 to 20 of 25.
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  1. Kopetzki, Anna-Kathrin; G├╝nnemann, Stephan: Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training (2021)
  2. Lu, Xiang; Li, Yaoxiang; Love, Tanzy: On Bayesian analysis of parsimonious Gaussian mixture models (2021)
  3. Melnykov, Yana; Zhu, Xuwen; Melnykov, Volodymyr: Transformation mixture modeling for skewed data groups with heavy tails and scatter (2021)
  4. Tang, Yanni; Liu, Jiamou; Chen, Wu: Exchange, adopt, evolve: modeling the spreading of opinions through cognition and interaction in a social network (2021)
  5. Akhanli, Serhat Emre; Hennig, Christian: Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes (2020)
  6. Almod├│var-Rivera, Israel A.; Maitra, Ranjan: Kernel-estimated nonparametric overlap-based syncytial clustering (2020)
  7. Zhu, Xiaotian; Hunter, David R.: Clustering via finite nonparametric ICA mixture models (2019)
  8. Li, Bing: Sufficient dimension reduction: methods and applications with R (2018)
  9. Nasiri, Jhila; Khiyabani, Farzin Modarres: A whale optimization algorithm (WOA) approach for clustering (2018)
  10. Zhao, Changchen; Hwang, Wen-Liang; Lin, Chun-Liang; Chen, Weihai: Greedy orthogonal matching pursuit for subspace clustering to improve graph connectivity (2018)
  11. De Capitani, Lucio; Nicolussi, Federica; Zini, Alessandro: Trivariate Burr-III copula with applications to income data (2017)
  12. Marbac, Matthieu; Sedki, Mohammed: Variable selection for model-based clustering using the integrated complete-data likelihood (2017)
  13. Punzo, Antonio; McNicholas, Paul D.: Parsimonious mixtures of multivariate contaminated normal distributions (2016)
  14. Dang, Utkarsh J.; Browne, Ryan P.; McNicholas, Paul D.: Mixtures of multivariate power exponential distributions (2015)
  15. Vrbik, Irene; McNicholas, Paul D.: Parsimonious skew mixture models for model-based clustering and classification (2014)
  16. Ingrassia, Salvatore; Rocci, Roberto: Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints (2011)
  17. Rocci, Roberto; Gattone, Stefano Antonio; Vichi, Maurizio: A new dimension reduction method: Factor discriminant (K)-means (2011)
  18. Melnykov, Volodymyr; Maitra, Ranjan: Finite mixture models and model-based clustering (2010)
  19. Kinzett, David; Johnston, Mark; Zhang, Mengjie: Numerical simplification for bloat control and analysis of building blocks in genetic programming (2009) ioport
  20. Chris Fraley; Adrian Raftery: Model-based Methods of Classification: Using the mclust Software in Chemometrics (2007) not zbMATH

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