A re-examination to the SCoTLASS problems for SPCA and two projection-based methods for them

SCoTLASS is the first sparse principal component analysis (SPCA) model which imposes extra l1 norm constraints on the measured variables to obtain sparse loadings. Due to the the difficulty of finding projections on the intersection of an l1 ball/sphere and an l2 ball/sphere, early approaches to sol...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Zhang, Qiye, Li, Kuoyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Constraint modelling Penalty function Principal components analysis
Online-Zugang:	Volltext
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