Article

ci-fGBD: Cluster-Integrated Fast Generalized Bruhat Decomposition for Multimodal Data Clustering in Alzheimer's Disease.

2025-09-05

Abstract excerpt

Multimodal biomedical datasets, such as those from neurodegenerative disease cohorts, present significant challenges in stratifying heterogeneous patient populations due to missing values, high dimensionality, and modality-specific biases. Traditional clustering methods often require extensive preprocessing and fail to integrate heterogeneous data types effectively. We introduce ci-fGBD(Cluster-Integrated Fast Gen...

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Literature Corpus work: c5f747e2-8f7f-5128-abc4-6c95e8159872
DOI: 10.1101/2025.09.03.25334761

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