Application of kernel principal component analysis to multi-characteristic parameter design problems

DOI10.1007/S10479-015-1889-2zbMath1478.62225OpenAlexW324141426MaRDI QIDQ1639217

Woojin Soh, Bong-Jin Yum, Hee-Young Kim

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-015-1889-2

zbMATH Keywords

Taguchi methodkernel principal component analysisSN ratiorobust parameter designmultiple performance characteristics

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Robust parameter designs (62K25)

Related Items (1)

Two-phase incremental kernel PCA for learning massive or online datasets

Uses Software

• LIBSVM
• PRMLT

Cites Work

• Principal component analysis.
• Unnamed Item

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