As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...

Abstract: In this paper, an improved K-means clustering algorithm, EGLK-Means, is proposed, which optimizes the clustering results by enhancing global and local information. The traditional K-means ...

Zelenskyy says he would step down if it means peace for Ukraine Ukrainian President Volodymyr Zelenskyy also said Sunday that he would step down if it meant Ukraine would be granted NATO membership.

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

Data set showcases protein consumption from 25 European countries. The data includes protein consumption (in grams per person per day) for red Meat, white meat, eggs, milk, fish, cereal, starch, nuts, ...

Normalization ensures that all features are on a similar scale, which is crucial for distance-based algorithms like K-Means. Without normalization, features with larger ranges will dominate the ...

Abstract: The purpose of this study is to explore the application of K-means clustering algorithm in analyzing college students' mental health. By collecting the data of college students' mental ...

School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China In recent years, the long noncoding RNA (lncRNA) has been shown to be involved in ...