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In the pursuit of sparseness: A new rank-preserving penalty..:
Kim, Nam-Hwui
;
Browne, Ryan P.
Computational Statistics & Data Analysis. 160 (2021) - p. 107244 , 2021
Link:
https://doi.org/10.1016/j.csda.2021.107244
RT Journal T1 <Title>In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.csda.2021.107244&Exemplar=1&LAN=DE A1 Kim, Nam-Hwui A1 Browne, Ryan P. PB Elsevier BV YR 2021 SN 0167-9473 JF Computational Statistics & Data Analysis VO 160 SP 107244 LK http://dx.doi.org/https://doi.org/10.1016/j.csda.2021.107244 DO https://doi.org/10.1016/j.csda.2021.107244 SF ELIB - SuUB Bremen
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