Anthropometry

Anthropometry: An R Package for Analysis of Anthropometric Data. Anthropometry: Statistical Methods for Anthropometric Data. Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis.

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References in zbMATH (referenced in 7 articles , 1 standard article )

Showing results 1 to 7 of 7.
Sorted by year (citations)

  1. Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
  2. Cabero, Ismael; Epifanio, Irene: Archetypal analysis: an alternative to clustering for unsupervised texture segmentation (2019)
  3. Epifanio, Irene; Ibáñez, María Victoria; Simó, Amelia: Archetypal shapes based on landmarks and extension to handle missing data (2018)
  4. Guillermo Vinué: Anthropometry: An R Package for Analysis of Anthropometric Data (2017) not zbMATH
  5. Epifanio, Irene: Functional archetype and archetypoid analysis (2016)
  6. Vinué, Guillermo; Simó, Amelia; Alemany, Sandra: The (k)-means algorithm for 3D shapes with an application to apparel design (2016)
  7. Vinué, Guillermo; Epifanio, Irene; Alemany, Sandra: Archetypoids: a new approach to define representative archetypal data (2015)