References in zbMATH (referenced in 36 articles , 1 standard article )

Showing results 1 to 20 of 36.
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  1. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  2. Brécheteau, Claire; Levrard, Clément: A (k)-points-based distance for robust geometric inference (2020)
  3. Cappozzo, Andrea; Greselin, Francesca; Murphy, Thomas Brendan: A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (2020)
  4. García-Escudero, Luis Angel; Mayo-Iscar, Agustín; Riani, Marco: Model-based clustering with determinant-and-shape constraint (2020)
  5. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  6. Greco, Luca; Agostinelli, Claudio: Weighted likelihood mixture modeling and model-based clustering (2020)
  7. Paindaveine, Davy; Remy, Julien; Verdebout, Thomas: Testing for principal component directions under weak identifiability (2020)
  8. Tavares, Ana Helena; Raymaekers, Jakob; Rousseeuw, Peter J.; Brito, Paula; Afreixo, Vera: Clustering genomic words in human DNA using peaks and trends of distributions (2020)
  9. Cerioli, Andrea; Farcomeni, Alessio; Riani, Marco: Wild adaptive trimming for robust estimation and cluster analysis (2019)
  10. del Barrio, E.; Cuesta-Albertos, J. A.; Matrán, C.; Mayo-Íscar, A.: Robust clustering tools based on optimal transportation (2019)
  11. Dotto, Francesco; Farcomeni, Alessio: Robust inference for parsimonious model-based clustering (2019)
  12. Rivera-García, Diego; García-Escudero, Luis A.; Mayo-Iscar, Agustín; Ortega, Joaquín: Robust clustering for functional data based on trimming and constraints (2019)
  13. Torti, Francesca; Perrotta, Domenico; Riani, Marco; Cerioli, Andrea: Assessing trimming methodologies for clustering linear regression data (2019)
  14. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  15. 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)
  16. 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)
  17. Dotto, Francesco; Farcomeni, Alessio; García-Escudero, Luis Angel; Mayo-Iscar, Agustín: A reweighting approach to robust clustering (2018)
  18. Gallegos, María Teresa; Ritter, Gunter: Probabilistic clustering via Pareto solutions and significance tests (2018)
  19. García-Escudero, Luis Angel; Gordaliza, Alfonso; Greselin, Francesca; Ingrassia, Salvatore; Mayo-Iscar, Agustín: Eigenvalues and constraints in mixture modeling: geometric and computational issues (2018)
  20. García-Escudero, Luis Angel; Greselin, Francesca; Iscar, Agustin Mayo: Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers (2018)

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