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A novel hierarchically-structured factor mixture model for cluster discovery from multi-modality data

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Year: 2020
Type: article
Source: IISE Transactions
DOI: 10.1080/24725854.2020.1800149
Authors: Bing Si, Todd J. Schwedt, Catherine D. Chong, Teresa Wu, Jing Li
Institutions: Arizona State University, Mayo Clinic in Arizona
Language: English

Topic: Bayesian Methods and Mixture Models
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: National Sleep Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke
Awards: Functional Networks in Migraine, G4297504149, G4485307670
OpenAlex ID: W3047479506
FWCI: 0.093
Cites: 28
Cited by: 1
Related to: 10
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