References in zbMATH (referenced in 18 articles , 1 standard article )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  2. Saunders, K. R.; Stephenson, A. G.; Karoly, D. J.: A regionalisation approach for rainfall based on extremal dependence (2021)
  3. Tsai, Cary Chi-Liang; Cheng, Echo Sihan: Incorporating statistical clustering methods into mortality models to improve forecasting performances (2021)
  4. van Delft, Anne; Dette, Holger: A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing (2021)
  5. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  6. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  7. Isotta Landi, Veronica Mandelli, Michael V. Lombardo: reval: a Python package to determine the best number of clusters with stability-based relative clustering validation (2020) arXiv
  8. Talebi, H.; Peeters, L. J. M.; Mueller, U.; Tolosana-Delgado, R.; van den Boogaart, K. G.: Towards geostatistical learning for the geosciences: a case study in improving the spatial awareness of spectral clustering (2020)
  9. François Role, Stanislas Morbieu, Mohamed Nadif: CoClust: A Python Package for Co-Clustering (2019) not zbMATH
  10. He, Zhenfeng; Yu, Chunyan: Clustering stability-based evolutionary K-means (2019)
  11. Kharoubi, Rachid; Oualkacha, Karim; Mkhadri, Abdallah: The cluster correlation-network support vector machine for high-dimensional binary classification (2019)
  12. Mair, Patrick: Modern psychometrics with R (2018)
  13. Plaza, Francisco; Salas, Rodrigo; Yáñez, Eleuterio: Identifying ecosystem patterns from time series of anchovy (\textitEngraulisringens) and sardine (\textitSardinopssagax) landings in northern Chile (2018)
  14. Rahmanishamsi, Jafar; Dolati, Ali; Aghabozorgi, Masoudreza R.: A copula based ICA algorithm and its application to time series clustering (2018)
  15. Dehmer, Matthias (ed.); Shi, Yongtang (ed.); Emmert-Streib, Frank (ed.): Computational network analysis with R. Applications in biology, medicine and chemistry (2017)
  16. Goulet, D.: Modeling, simulating, and parameter Fitting of biochemical kinetic experiments (2016)
  17. Bruzzese, Dario; Vistocco, Domenico: DESPOTA: dendrogram slicing through a pemutation test approach (2015)
  18. Malika Charrad; Nadia Ghazzali; Véronique Boiteau; Azam Niknafs: NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set (2014) not zbMATH