TY  - BOOK
AU  - Beese, Martina
PY  - 2024
DA  - 2024//
TI  - Analysis of incomplete data sets in numerical chemometrics
PB  - Universität Rostock
CY  - Rostock
AB  - 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>
UR  - https://purl.uni-rostock.de/rosdok/id00005109
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005109-5
UR  - https://d-nb.info/1390450120/34
UR  - https://doi.org/10.18453/rosdok_id00005109
DO  - 10.18453/rosdok_id00005109
LA  - English
N1  - vorgelegt von Martina Beese
ID  - 1960934996
ER  -