Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Convergence of algorithms used for principal component analysis

From MaRDI portal
Publication:1386326
Jump to:navigation, search

DOI10.1007/BF02916844zbMath0895.68026OpenAlexW2024722106MaRDI QIDQ1386326

Chen, Hanfu, Jun Hua Zhang

Publication date: 7 May 1998

Published in: Science in China. Series E (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02916844


zbMATH Keywords

principal component analysis


Mathematics Subject Classification ID

Data structures (68P05)


Related Items (2)

Recursive estimation for ordered eigenvectors of symmetric matrix with observation noise ⋮ Convergence of algorithms for finding eigenvectors




Cites Work

  • Stochastic approximation methods for constrained and unconstrained systems
  • Unnamed Item




This page was built for publication: Convergence of algorithms used for principal component analysis

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:1386326&oldid=13544649"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 31 January 2024, at 15:57.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki