An Unsupervised Clustering Algorithm to Cluster the New SARS-CoV-2 Virus Mutation

Identifying Antibiotic-Resistant Mutants in β-Lactamases for Class A and Class B Using Unsupervised Machine Learning

“…K-means is a popular clustering algorithm that is highly favored for its efficiency, simplicity, and ability to effectively address the widely known clustering problem. The fundamental idea behind the algorithm is to define k centers, representing k clusters, in such a way that they are placed far apart from each other since different locations of centers can result in different outcomes [22].…”