Open AccessA machine learning and clustering-based approach for county-level COVID-19 analysis
Author(s) -
Charles Nicholson,
Lex Beattie,
Matthew Beattie,
Talayeh Razzaghi,
Sixia Chen
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0267558
Subject(s) - novelty , cluster analysis , pandemic , covid-19 , livelihood , computer science , aggregate (composite) , machine learning , data science , feature (linguistics) , econometrics , artificial intelligence , disease , geography , medicine , infectious disease (medical specialty) , mathematics , psychology , social psychology , linguistics , philosophy , materials science , archaeology , pathology , composite material , agriculture
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