Unsupervised machine learning framework for discriminating major variants of concern during COVID-19. (arXiv:2208.01439v1 [q-bio.OT])

Due to the rapid evolution of the SARS-CoV-2 (COVID-19) virus, a number of
mutations emerged with variants such as Alpha, Gamma, Delta and Omicron which
created massive impact to the world economy. Unsupervised machine learning
methods have the ability to compresses, characterize and visualises unlabelled
data. In this paper, we present a framework that utilizes unsupervised machine
learning methods that includes combination of selected dimensional reduction
and clustering methods to discriminate and visualise the associations with the
major COVID-19 variants …

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