K-means is one of ten popular clustering algorithms. However, k-means performs poorly due
to the presence of outliers in real datasets. Besides, a different distance metric makes a …

Social media platforms, such as Twitter, have been paramount in the COVID-19 context due
to their ability to collect public concerns about the COVID-19 vaccination campaign, which …

Mexico is among the five countries with the largest number of reported deaths from COVID-
19 disease, and the mortality rates associated to infections are heterogeneous in the country …

The availability of food in a country is determined by a conducive climate. Prolonged
droughts, floods, and natural disasters, especially for food crop production areas, will have …

Purpose The COVID-19 pandemic has posed many challenges in almost all sectors around
the globe. Because of the pandemic, government entities responsible for managing health …

COVID-19 is a virus that attacks the respiratory system in humans and spreads rapidly. The
government has taken various ways to reduce the rate of transmission of COVID-19 …

Food plays a vital role in the daily life; everybody needs a balanced diet to maintain a
healthy body. Nowadays, the list of foods is continue growing. Some are natural, others are …

Abstract Introduction: The Coronavirus has crossed geographical borders. This study was
performed to rank and cluster Iranian provinces based on coronavirus disease (COVID-19) …

Se analizaron tres algoritmos de agrupación K-Means, DBSCAN y EM, en una base de
datos abierta, con 10,039 registros, referente a los casos de COVID-19 presentados en el …

Laju penyebaran Covid 19 sangat pesat bahkan sudah menyebar ke sebagian besar
negara di dunia tidak terkecuali dengan Indonesia. Penyebaran Covid 19 di Indonesia telah …