Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020
- Resource Type
- Conference
- Authors
- Crnogorac, Vukasin; Grbic, Milana; Dukanovic, Marko; Matic, Dragan
- Source
- 2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH) INFOTEH-JAHORINA (INFOTEH), 2021 20th International Symposium. :1-6 Mar, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
COVID-19
Image color analysis
Clustering methods
Europe
Clustering algorithms
Partitioning algorithms
Public healthcare
K-means clustering
Agglomerative clustering
BIRCH clustering
European countries
- Language
The coronavirus COVID-19 has been affected all the countries and territories in 2020. In this study we cluster European countries according to the cumulative relative number of European COVID-19 patients. The clustering is based on publicly available data published at European Centre for Disease Prevention and Control website and performed by three clustering methods: K-means, agglomerative and BIRCH clustering. Clustering performance, evaluated by Silhouette Coefficient value, shows satisfying accuracy of the obtained clusters. The results presented in this study can be useful to public health officers and practitioners to easier deal with COVID-19 challenges.