Visual Studio Magazine

K-Means Data Clustering from Scratch Using C#

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.
MarkTechPost

Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs

Meta FAIR that updates centroids with exponential moving averages. How does e-means work? Every k-means variant keeps a sum S ...
Unite.AI

Meta’s Faiss 1.16.0 Adds E-Means for Faster Large-Scale Clustering

Meta’s Faiss maintainers released version 1.16.0 on November 10, 2026, packaging FAIR at Meta’s e-means clustering algorithm with CPU, GPU and distributed implementations. The researchers report ...
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, ...