cluster (R)

R package cluster: Cluster Analysis Extended Rousseeuw et al , Cluster Analysis, extended original from Peter Rousseeuw, Anja Struyf and Mia Hubert. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 46 articles )

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  1. Cabero, Ismael; Epifanio, Irene: Finding archetypal patterns for binary questionnaires (2020)
  2. Gero Szepannek: An Overview on the Landscape of R Packages for Credit Scoring (2020) arXiv
  3. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  4. Cappozzo, Andrea; Greselin, Francesca: Detecting wine adulterations employing robust mixture of factor analyzers (2019)
  5. Yuan, Beibei; Heiser, Willem; De Rooij, Mark: The (\delta)-machine: classification based on distances towards prototypes (2019)
  6. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  7. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  8. Brodinová, Šárka; Zaharieva, Maia; Filzmoser, Peter; Ortner, Thomas; Breiteneder, Christian: Clustering of imbalanced high-dimensional media data (2018)
  9. Mair, Patrick: Modern psychometrics with R (2018)
  10. Page, Garritt L.; Quintana, Fernando A.: Calibrating covariate informed product partition models (2018)
  11. Pirim, Harun; Eksioglu, Burak; Glover, Fred W.: A novel mixed integer linear programming model for clustering relational networks (2018)
  12. Teimouri, Mahdi; Rezakhah, Saeid; Mohammadpour, Adel: EM algorithm for symmetric stable mixture model (2018)
  13. Handl, Andreas; Kuhlenkasper, Torben: Multivariate analysis methods. Theory and practice with R (2017)
  14. Hu, Chenyue W.; Li, Hanyang; Qutub, Amina A.: Shrinkage clustering: a fast and size-constrained algorithm for biomedical applications (2017)
  15. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017) not zbMATH
  16. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017) not zbMATH
  17. Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)
  18. Azzalini, Adelchi; Menardi, Giovanna: Density-based clustering with non-continuous data (2016)
  19. Boj, Eva; Caballé, Adrià; Delicado, Pedro; Esteve, Anna; Fortiana, Josep: Global and local distance-based generalized linear models (2016)
  20. Brentari, Eugenio; Dancelli, Livia; Manisera, Marica: Clustering ranking data in market segmentation: a case study on the Italian McDonald’s customers’ preferences (2016)

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