Unsupervised learning for county-level typological classification for COVID-19 research

Unsupervised learning for county-level typological classification for COVID-19 research

The analysis of county-level COVID-19 pandemic data faces computational and analytic challenges, particularly when considering the heterogeneity of data sources with variation in geographic, demographic, and socioeconomic factors between counties. This study presents a method to join relevant data f...

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Bibliographic Details
Main Authors: Lai, Yuan (Author), Charpignon, Marie-Laure (Author), Ebner, Daniel K. (Author), Celi, Leo Anthony G. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Harvard- (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2020-09-08T15:48:34Z.
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