Analysis of incomplete data sets in numerical chemometrics
Beese, Martina
1997-
VerfasserIn
aut
Neymeyr, Klaus
1964-
AkademischeR BetreuerIn
dgs
de Juan Capdevila, Anna
AkademischeR BetreuerIn
dgs
Universität Rostock
Grad-verleihende Institution
dgg
Universität Rostock
Mathematisch-Naturwissenschaftliche Fakultät
Grad-verleihende Institution
dgg
text
theses
Text
Hochschulschrift
gw
2024
monographic
XA-DE
Rostock
Universität Rostock
publisher
11.11.2024
Rostock
Universitätsbibliothek Rostock
distributor
eng
application/pdf
1 Online-Ressource (99 Seiten) Illustrationen, Diagramme
The nonnegative matrix factorization (NMF) problem does not have a unique solution. A low-dimensional representation can be used to determine the set of solutions. However, the matrix to be factorized may be incomplete, making the common approaches to determine the set of solutions only applicable to the largest complete submatrix. This thesis shows a way to approximate the set of solutions of the NMF problem for incomplete matrices with maximum utilization of the given information. This is done using approaches from cone theory, which allow to represent the given incomplete matrix.<eng>
Open Access
Urheberrechtsschutz 1.0
vorgelegt von Martina Beese
GutachterInnen: Klaus Neymeyr (Universität Rostock) ; Anna de Juan Capdevila (Universitat de Barcelona)
Dissertation Universität Rostock 2025
510
624.177
624
https://purl.uni-rostock.de/rosdok/id00005109
https://doi.org/10.18453/rosdok_id00005109
https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005109-5
https://d-nb.info/1390450120/34
Analysis of incomplete data sets in numerical chemometrics
Rostock : Universität Rostock, 2024
Druck-Ausgabe
(DE-627)196093547X
Beese, Martina, 1997 -
urn:nbn:de:gbv:28-rosdok_id00005109-5
10.18453/rosdok_id00005109
1572717681
rda
DE-627
260212
1960934996
20260305T053921.0
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