Open AccessHybrid of K-Means and partitioning around medoids for predicting COVID-19 cases: Iraq case study
Author(s) -
Nidaa Ghalib Ali,
Saba Dhey Abed,
Faris Ali Jasim Shaban,
Korakod Tongkachok,
Samrat Ray,
Refed Adnan Jaleel
Publication year - 2021
Publication title -
periodicals of engineering and natural sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 11
ISSN - 2303-4521
DOI - 10.21533/pen.v9i4.2382
Subject(s) - medoid , computer science , cluster analysis , similarity (geometry) , mean squared error , covid-19 , data mining , categorical variable , statistics , artificial intelligence , quality (philosophy) , machine learning , medicine , mathematics , disease , philosophy , epistemology , pathology , infectious disease (medical specialty) , image (mathematics)