Improving the efficiency of multidimensional scaling in the analysis of high-dimensional data using singular value decomposition. - Sorbonne Université
Journal Articles Bioinformatics (Oxford, England) Year : 2011

Improving the efficiency of multidimensional scaling in the analysis of high-dimensional data using singular value decomposition.

Christophe Bécavin
  • Function : Author
Nicolas Tchitchek
Immunologie - Immunopathologie - Immunothérapie [CHU Pitié Salpêtrière]
CV
Colette Mintsa-Eya
  • Function : Author
Annick Lesne
  • Function : Author
Arndt Benecke
  • Function : Author

Domains

Immunology

Nicolas Tchitchek  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-03961026

Submitted on : Saturday, January 28, 2023-12:07:27 PM

Last modification on : Thursday, December 14, 2023-1:50:38 PM

No file

Dates and versions

hal-03961026 , version 1 (28-01-2023)

Identifiers

Cite

Christophe Bécavin, Nicolas Tchitchek, Colette Mintsa-Eya, Annick Lesne, Arndt Benecke. Improving the efficiency of multidimensional scaling in the analysis of high-dimensional data using singular value decomposition.. Bioinformatics (Oxford, England), 2011, 27 (10), pp.1413--1421. ⟨10.1093/bioinformatics/btr143⟩. ⟨hal-03961026⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

I3 SORBONNE-UNIVERSITE SU-MEDECINE
15 View
0 Download

Altmetric

Share

More