References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Nikita, Efthymia; Nikitas, Panos: Simulation methods for squared Euclidean and Mahalanobis type distances for multivariate data and their application in assessing the uncertainty in hierarchical clustering (2022)
  2. Valk, Marcio; Cybis, Gabriela Bettella: (U)-statistical inference for hierarchical clustering (2021)
  3. Daniel Conn, Tuck Ngun, Gang Li, Christina M. Ramirez: Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data (2019) not zbMATH
  4. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  5. Cybis, Gabriela B.; Valk, Marcio; Lopes, Sílvia R. C.: Clustering and classification problems in genetics through (U)-statistics (2018)
  6. Lu, Qiyi; Qiao, Xingye: Significance analysis of high-dimensional, low-sample size partially labeled data (2016)
  7. Gallien, Jérémie; Mersereau, Adam J.; Garro, Andres; Mora, Alberte Dapena; Vidal, Martín Nóvoa: Initial shipment decisions for new products at Zara (2015)
  8. 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
  9. Shimodaira, Hidetoshi: Higher-order accuracy of multiscale-double bootstrap for testing regions (2014)
  10. Ueki, M.; Fueda, K.: A bias correction and acceleration approach for the problem of regions (2009)
  11. Liu, Yufeng; Hayes, David Neil; Nobel, Andrew; Marron, J. S.: Statistical significance of clustering for high-dimension, low-sample size data (2008)