BMJ Global Health

Clustering of countries based on national essential medicines lists: cross-sectional study

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Scientific Research Publishing

On Prediction of Stock Return and Volatility Using Clustering Techniques: Taking an Example ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...
Scientific Research Publishing

Tabianan, K., Velu, S. and Ravi, V. (2022) K-Means Clustering Approach for Intelligent ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
IEEE

Size Constrained K-Means Clustering for Controlled Design Structure Matrix Partitioning

Abstract: In this paper, we propose a novel clustering algorithm for Design Structure Matrices (DSMs) with the goal of providing a balanced system partitioning. DSMs are one of the standard forms of ...