Open AccessA Spectral Clustering Approach for the Evolution of the COVID-19 Pandemic in the State of Rio Grande do Sul, Brazil
Author(s) -
Luiz Emílio Allem,
Carlos Hoppen,
Matheus Micadei Marzo,
Lucas Siviero Sibemberg
Publication year - 2022
Publication title -
trends in computational and applied mathematics
Language(s) - English
Resource type - Journals
ISSN - 2676-0029
DOI - 10.5540/tcam.2022.023.04.00705
Subject(s) - pandemic , government (linguistics) , covid-19 , cluster analysis , isolation (microbiology) , geography , clustering coefficient , population , flags register , state (computer science) , graph , spectral clustering , computer science , econometrics , theoretical computer science , demography , mathematics , sociology , artificial intelligence , infectious disease (medical specialty) , algorithm , disease , medicine , linguistics , philosophy , pathology , microbiology and biotechnology , biology , operating system