Women's Health

Oatly banned from using word ‘milk’ — what it means for plant-based products

Bad news for vegans, oat chai girlies and matcha queens, as the reign of oat milk – or should I say plant-based oat drinks? Oat juice? – has come to an abrupt end. The UK Supreme Court has officially ...
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

K-means Clustering Solution for Image Compression

Abstract: The paper presents a detailed research study of the k-means clustering algorithm to be used for image compression tasks, where the RGB values of the colors are considered XYZ coordinates of ...
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 ...