ICS

ICS: Tools for Exploring Multivariate Data via ICS/ICA. The package implements Tyler et al.’s and Oja et al.’s method of two different scatter matrices to obtain an invariant coordinate system or independent components, depending on the underlying assumptions.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 7 articles )

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

  1. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for tensor-valued data (2017)
  2. Alashwali, Fatimah; Kent, John T.: The use of a common location measure in the invariant coordinate selection and projection pursuit (2016)
  3. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  4. Dümbgen, Lutz; Nordhausen, Klaus; Schuhmacher, Heike: New algorithms for $M$-estimation of multivariate scatter and location (2016)
  5. Nordhausen, Klaus: On robustifying some second order blind source separation methods for nonstationary time series (2014)
  6. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  7. Nordhausen, Klaus; Oja, Hannu; Paindaveine, Davy: Signed-rank tests for location in the symmetric independent component model (2009)