A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States
S Deb, S Karmakar - Computational Statistics & Data Analysis, 2023 - Elsevier
A new clustering algorithm for spatio-temporal data is developed. The proposed method
leverages a weighted combination of a spatial haversine distance matrix and a spectral …
leverages a weighted combination of a spatial haversine distance matrix and a spectral …
Geographic information system-based spatio-temporal detection and mapping of COVID-19 hot/cold spots in Oman.
Y Al-Mulla, M Al-Muqaimi, A Ali… - … Journal of Electrical …, 2024 - search.ebscohost.com
Infected COVID-19 patients, especially after March 11, 2020, grew drastically in Oman.
Hence, a variety of measures were issued to restrict all social gatherings, commercial …
Hence, a variety of measures were issued to restrict all social gatherings, commercial …