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

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

  1. Cerioli, Andrea; Farcomeni, Alessio; Riani, Marco: Wild adaptive trimming for robust estimation and cluster analysis (2019)
  2. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  3. Álvarez-Esteban, Pedro C.; Del Barrio, Eustasio; Cuesta-Albertos, Juan A.; Matrán, Carlos: Wide consensus aggregation in the Wasserstein space. Application to location-scatter families (2018)
  4. Chen, Kun; Mishra, Neha; Smyth, Joan; Bar, Haim; Schifano, Elizabeth; Kuo, Lynn; Chen, Ming-Hui: A tailored multivariate mixture model for detecting proteins of concordant change among virulent strains of \textitclostridiumperfringens (2018)
  5. Dotto, Francesco; Farcomeni, Alessio; García-Escudero, Luis Angel; Mayo-Iscar, Agustín: A reweighting approach to robust clustering (2018)
  6. García-Escudero, Luis Angel; Greselin, Francesca; Iscar, Agustin Mayo: Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers (2018)
  7. Coretto, Pietro; Hennig, Christian: Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering (2017)
  8. García-Escudero, L. A.; Gordaliza, A.; Greselin, F.; Ingrassia, S.; Mayo-Iscar, A.: Robust estimation of mixtures of regressions with random covariates, via trimming and constraints (2017)
  9. Antonio Punzo, Angelo Mazza, Paul D. McNicholas: ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions (2016) arXiv
  10. García-Escudero, Luis Angel; Gordaliza, Alfonso; Greselin, Francesca; Ingrassia, Salvatore; Mayo-Iscar, Agustín: The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers (2016)
  11. McNicholas, Paul D.: Model-based clustering (2016)
  12. García-Escudero, L. A.; Gordaliza, A.; Matrán, C.; Mayo-Iscar, A.: Avoiding spurious local maximizers in mixture modeling (2015)
  13. Fritz, Heinrich; García-Escudero, Luis A.; Mayo-Iscar, Agustín: A fast algorithm for robust constrained clustering (2013)
  14. Fritz, Heinrich; García-Escudero, Luis A.; Mayo-Iscar, Agustín: Robust constrained fuzzy clustering (2013)
  15. García-Escudero, L. A.; Gordaliza, A.; Mayo-Iscar, A.: Comments on: “Model-based clustering and classification with non-normal mixture distributions” (2013)
  16. Heinrich Fritz; Luis García-Escudero; Agustín Mayo-Iscar: tclust: An R Package for a Trimming Approach to Cluster Analysis (2012) not zbMATH