References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Pirim, Harun; Eksioglu, Burak; Glover, Fred W.: A novel mixed integer linear programming model for clustering relational networks (2018)
  2. Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017)
  3. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017)
  4. Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)
  5. Azzalini, Adelchi; Menardi, Giovanna: Density-based clustering with non-continuous data (2016)
  6. Boj, Eva; Caballé, Adrià; Delicado, Pedro; Esteve, Anna; Fortiana, Josep: Global and local distance-based generalized linear models (2016)
  7. Helske, Satu: Statistical analysis of life sequence data (2016)
  8. Bruzzese, Dario; Vistocco, Domenico: DESPOTA: dendrogram slicing through a pemutation test approach (2015)
  9. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  10. Sabo, Miroslav: Consensus clustering with differential evolution (2014)
  11. Adelchi Azzalini, Giovanna Menardi: Clustering Via Nonparametric Density Estimation: the R Package pdfCluster (2013) arXiv
  12. Graf, Christoph; Vetschera, Rudolf; Zhang, Yingchao: Parameters of social preference functions: measurement and external validity (2013)
  13. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  14. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R. (2011)
  15. Kraus, Johann M.; Müssel, Christoph; Palm, Günther; Kestler, Hans A.: Multi-objective selection for collecting cluster alternatives (2011)
  16. Lee, Jong-Seok; Olafsson, Sigurdur: Data clustering by minimizing disconnectivity (2011) ioport
  17. Leon, T.; Ayala, G.; Gaston, M.; Mallor, F.: Using mathematical morphology for unsupervised classification of functional data (2011)
  18. Gajda, Dorota; Guihenneuc-Jouyaux, Chantal; Rousseau, Judith; Mengersen, Kerry; Nur, Darfiana: Use in practice of importance sampling for repeated MCMC for Poisson models (2010)
  19. Herrera, Manuel; Izquierdo, Joaquín; Montalvo, Idel; García-Armengol, Juan; Roig, José V.: Identification of surgical practice patterns using evolutionary cluster analysis (2009)
  20. Leisch, Friedrich: Visualizing cluster analysis and finite mixture models (2008)