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Probabilistic matrix clustering with feature priors for unbiased control selection
We propose a probabilistic matrix-clustering method that leverages a prior distribution of features and dimensionality reduction (Singular Value Decomposition, SVD). The approach identifies, within a large control pool, a cluster statistically comparable to the test cohort, thereby reducing systemat...
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| Hovedforfatter: | |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
ITMO University
2025-10-01
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| Serier: | Научно-технический вестник информационных технологий, механики и оптики |
| Fag: | |
| Online adgang: | https://ntv.elpub.ru/jour/article/view/530 |
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