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
References in zbMATH (referenced in 46 articles )
Showing results 1 to 20 of 46.
Sorted by year (- Cabero, Ismael; Epifanio, Irene: Finding archetypal patterns for binary questionnaires (2020)
- Gero Szepannek: An Overview on the Landscape of R Packages for Credit Scoring (2020) arXiv
- Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
- Cappozzo, Andrea; Greselin, Francesca: Detecting wine adulterations employing robust mixture of factor analyzers (2019)
- Yuan, Beibei; Heiser, Willem; De Rooij, Mark: The (\delta)-machine: classification based on distances towards prototypes (2019)
- Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
- Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
- Brodinová, Šárka; Zaharieva, Maia; Filzmoser, Peter; Ortner, Thomas; Breiteneder, Christian: Clustering of imbalanced high-dimensional media data (2018)
- Mair, Patrick: Modern psychometrics with R (2018)
- Page, Garritt L.; Quintana, Fernando A.: Calibrating covariate informed product partition models (2018)
- Pirim, Harun; Eksioglu, Burak; Glover, Fred W.: A novel mixed integer linear programming model for clustering relational networks (2018)
- Teimouri, Mahdi; Rezakhah, Saeid; Mohammadpour, Adel: EM algorithm for symmetric stable mixture model (2018)
- Handl, Andreas; Kuhlenkasper, Torben: Multivariate analysis methods. Theory and practice with R (2017)
- Hu, Chenyue W.; Li, Hanyang; Qutub, Amina A.: Shrinkage clustering: a fast and size-constrained algorithm for biomedical applications (2017)
- Michael Hahsler and Matthew Bolaños and John Forrest: Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R (2017) not zbMATH
- Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017) not zbMATH
- Adragni, Kofi P.; Al-Najjar, Elias; Martin, Sean; Popuri, Sai K.; Raim, Andrew M.: Group-wise sufficient dimension reduction with principal fitted components (2016)
- Azzalini, Adelchi; Menardi, Giovanna: Density-based clustering with non-continuous data (2016)
- Boj, Eva; Caballé, Adrià; Delicado, Pedro; Esteve, Anna; Fortiana, Josep: Global and local distance-based generalized linear models (2016)
- Brentari, Eugenio; Dancelli, Livia; Manisera, Marica: Clustering ranking data in market segmentation: a case study on the Italian McDonald’s customers’ preferences (2016)