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An automated approach for determining the number of compone..:
Gilad, Gal
;
Sason, Itay
;
Sharan, Roded
Machine Learning: Science and Technology. 2 (2020) 1 - p. 015013 , 2020
Link:
https://doi.org/10.1088/2632-2153/abc60a
RT Journal T1 <Title>An automated approach for determining the number of components in non-negative matrix factorization with application to mutational signature learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_2632-2153_abc60a&Exemplar=1&LAN=DE A1 Gilad, Gal A1 Sason, Itay A1 Sharan, Roded PB IOP Publishing YR 2020 SN 2632-2153 JF Machine Learning: Science and Technology VO 2 IS 1 SP 015013 LK http://dx.doi.org/https://doi.org/10.1088/2632-2153/abc60a DO https://doi.org/10.1088/2632-2153/abc60a SF ELIB - SuUB Bremen
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