pvclust

R package pvclust: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling. pvclust is a package for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-values as well as BP (boostrap probability) values computed via multiscale bootstrap resampling.

Keywords for this software

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References in zbMATH (referenced in 9 articles )

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