Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data
DOI10.1214/21-AOAS1516zbMath1498.62008OpenAlexW4220729913WikidataQ112271265 ScholiaQ112271265MaRDI QIDQ2135383
Jeannie Ginnis, Poojan Shrestha, Yu Gu, Molina Shah, Kimon Divaris, Miguel A. Simancas-Pallares, Donglin Zeng, John S. Preisser
Publication date: 6 May 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/21-aoas1516
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Missing data (62D10)
Uses Software
Cites Work
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- Random forests
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