Using unsupervised learning methods to group African countries based on COVID-19 prevalence

The purpose of this paper is to prepare the most commonly used cluster analysis; hierarchical and non-hierarchical cluster analysis algorithms which are the K-means, the Partition Around Medoids (PAM) and the agglomerative hierarchical, to group 37 African countries on the basis of measures of COVID...

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Bibliographische Detailangaben

Hauptverfasser:	Osi, A. A., Usman, A., Auwal, S. T., Ibrahim, M. A., Jacqueline, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Cluster analysis Clustering Economic development Machine learning Unsupervised learning
Online-Zugang:	Volltext
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