Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
The New York Times

Admiral’s Comments Undercut Pentagon’s Cluster Munition Policy

The first Trump administration defended cluster munitions as “legitimate,” but on Monday, Adm. Brad Cooper condemned them as “inherently indiscriminate.” By John Ismay Reporting from Washington In a ...
Frontiers

K-means classification of long-term global vegetation index variation

Recent global warming has driven substantial changes in terrestrial vegetation, yet long-term global patterns remain insufficiently characterized. The Normalized Difference Vegetation Index (NDVI) ...
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, ...
Scientific Research Publishing

Wang, B.S., Wang, G.C. and Wei, Y.H. (2025) Improvement of the Cluster Number Determination Method Based on K-Means Algorithm. Statistics and Decision-Making, 41, 59-64.

ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
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 ...