K-means algorithm is one of the well-known unsupervised machine learning algorithms. The
algorithm typically finds out distinct non-overlap** clusters in which each point is assigned …

To design preventive policy measures for email phishing, it is helpful to be aware of the
phishing schemes and trends that are currently applied. How phishing schemes and …

ABSTRACT COVID-19 was discovered near the end of 2019 in Wuhan, China. In a short
period, the virus had spread throughout the entire world. One of the primary concerns of …

Background Two years after the beginning of the COVID-19 pandemic on December 29,
2021, there have been 281,808,270 confirmed cases of COVID-19, including 5,411,759 …

This study employs comprehensive clustering analysis to examine COVID-19 vaccine
hesitancy and related socio-demographic factors across US counties, using the collected …

Accurate manual detection of brain tumor by a team of radiologists may be a long and
tedious process, and further rely on their skills in the subject. Nowadays various medical …

This research proposes a multi-level predictive algorithm based on the k-means algorithm
with multiple adaptations. The research highlights the main limitations of k-means and …

This study examines the smoking patterns of youth across various states and union
territories of India using the Global Youth Tobacco Survey (GYTS) dataset. The analysis …

In this paper, a COVID-19 dataset is analyzed using a combination of K-Means and
Expectation-Maximization (EM) algorithms to cluster the data. The purpose of this method is …

This paper deals with the cluster analysis of selected countries based on COVID-19 new
deaths per million data. We implement a statistical procedure that combines a rank-size …