References in zbMATH (referenced in 49 articles )

Showing results 1 to 20 of 49.
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  1. Batool, Fatima; Hennig, Christian: Clustering with the average silhouette width (2021)
  2. Cabero, Ismael; Epifanio, Irene: Finding archetypal patterns for binary questionnaires (2020)
  3. Gero Szepannek: An Overview on the Landscape of R Packages for Credit Scoring (2020) arXiv
  4. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  5. Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)
  6. Cappozzo, Andrea; Greselin, Francesca: Detecting wine adulterations employing robust mixture of factor analyzers (2019)
  7. Yuan, Beibei; Heiser, Willem; De Rooij, Mark: The (\delta)-machine: classification based on distances towards prototypes (2019)
  8. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  9. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  10. Brodinová, Šárka; Zaharieva, Maia; Filzmoser, Peter; Ortner, Thomas; Breiteneder, Christian: Clustering of imbalanced high-dimensional media data (2018)
  11. Mair, Patrick: Modern psychometrics with R (2018)
  12. Page, Garritt L.; Quintana, Fernando A.: Calibrating covariate informed product partition models (2018)
  13. Pirim, Harun; Eksioglu, Burak; Glover, Fred W.: A novel mixed integer linear programming model for clustering relational networks (2018)
  14. Teimouri, Mahdi; Rezakhah, Saeid; Mohammadpour, Adel: EM algorithm for symmetric stable mixture model (2018)
  15. Yuan Tang: Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results (2018) arXiv
  16. Handl, Andreas; Kuhlenkasper, Torben: Multivariate analysis methods. Theory and practice with R (2017)
  17. Hu, Chenyue W.; Li, Hanyang; Qutub, Amina A.: Shrinkage clustering: a fast and size-constrained algorithm for biomedical applications (2017)
  18. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017) not zbMATH
  19. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017) not zbMATH
  20. Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)

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