| title: |
| Analysis of incomplete data sets in numerical chemometrics |
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| contributing persons: |
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| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
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38329-6 |
| Universität Rostock. Mathematisch-Naturwissenschaftliche Fakultät[Grad-verleihende Institution] |
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2147083-2 |
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| abstract: |
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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.
[English] |
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| document type: |
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| institution: |
| Faculty of Mathematics and Natural Sciences |
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| language: |
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| subject class (DDC): |
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| extent: |
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1 Online-Ressource (99 Seiten)
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publication /
production: |
Rostock
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Rostock: Universität Rostock
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11.11.2024
(normalised date: 2024) |
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| statement of responsibility: |
| vorgelegt von Martina Beese |
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| identifiers: |
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| access condition: |
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| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
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| RosDok id: |
rosdok_disshab_0000003413 |
| created / modified: |
12.02.2026 / 12.02.2026
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| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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