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, Charpignon, Marie-Laure, Ebner, Daniel K., Celi, Leo Anthony G.
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/127198