archetypes

From Spider-man to Hero - archetypal analysis in R. Archetypal analysis has the aim to represent observations in a multivariate data set as convex combinations of extremal points. This approach was introduced by Cutler and Breiman (1994); they defined the concrete problem, laid out the theoretical foundations and presented an algorithm written in Fortran. In this paper we present the R package archetypes which is available on the Comprehensive R Archive Network. The package provides an implementation of the archetypal analysis algorithm within R and different exploratory tools to analyze the algorithm during its execution and its final result. The application of the package is demonstrated on two examples.

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References in zbMATH (referenced in 11 articles , 1 standard article )

Showing results 1 to 11 of 11.
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  1. Epifanio, Irene; Ibáñez, María Victoria; Simó, Amelia: Archetypal shapes based on landmarks and extension to handle missing data (2018)
  2. Guillermo Vinué: Anthropometry: An R Package for Analysis of Anthropometric Data (2017) not zbMATH
  3. Suleman, Abdul: On ill-conceived initialization in archetypal analysis (2017)
  4. Canhasi, Ercan; Kononenko, Igor: Automatic extractive multi-document summarization based on archetypal analysis (2016) ioport
  5. Epifanio, Irene: Functional archetype and archetypoid analysis (2016)
  6. Seth, Sohan; Eugster, Manuel J. A.: Probabilistic archetypal analysis (2016)
  7. Vinué, Guillermo; Epifanio, Irene; Alemany, Sandra: Archetypoids: a new approach to define representative archetypal data (2015)
  8. Eugster, Manuel J. A.: Benchmark experiments. A tool for analyzing statistical learning algorithms. (2011)
  9. Eugster, Manuel J. A.; Leisch, Friedrich: Weighted and robust archetypal analysis (2011)
  10. Cutler, Adele: Remembering Leo Breiman (2010)
  11. Manuel Eugster; Friedrich Leisch: From Spider-Man to Hero — Archetypal Analysis in R (2009) not zbMATH