The New York Times

U.K. Allows U.S. to Use Bases to Hit Iranian Forces Menacing Strait Traffic

Prime Minister Keir Starmer has vowed not to be dragged into the war with Iran, but his government described its new position as essentially defensive. By Michael D. Shear Reporting from London ...
Scientific Research Publishing

Employing Principal Component Analysis and K-Means Clustering to Elucidate the Geological Compositional Process at N’Guérédonké Ultramafic Fe-Ti Deposit ()

The N’Guérédonké deposit, Faranah Province (Republic of Guinea), is part of the Leonian-Liberian crystalline shield, consisting of Archean granitoids and greenstone formations with a syn-tectonic ...
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, ...
GitHub

Feature Request: Python 3.13 Support

I'd like to request adding Python 3.13 support to k-means-constrained. This library provides excellent constrained clustering functionality that I rely on for some of my projects. Many thanks! Python ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
GitHub

Implement K-Means Clustering

Implement a K-Means clustering algorithm using Python and apply it to a well-known clustering dataset (e.g., Mall Customers, Wholesale Customers, or any publicly available dataset). This task will ...
IEEE

K-means clustering algorithm and Python implementation

Abstract: K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be ...