techtarget

Understand the k-means clustering algorithm with examples

As data science continues to evolve, the k-means clustering algorithm remains a valuable tool to uncover insights and patterns within complex datasets. Understanding the elbow method and the ...
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, ...
Visual Studio Magazine

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...