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, ...
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, ...
The Cipher Brief

The Human Algorithm: Why Disinformation Outruns Truth and What It Means for Our Future

Jennifer Ewbank, served as Deputy Director of the Central Intelligence Agency for Digital Innovation from October 2019 until January 2024, where she led transformation of one the world’s most ...
IEEE

Improved K-Means Algorithm for Nearby Target Localization

Abstract: In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.
USA Today

Does the U.S. have a 'K-shaped economy'? What it means for you.

On the right side, you can see the upper diagonal heading up, while the one on the bottom falls to the ground. Now substitute upper-income Americans for the topmost diagonal, heading up and away, and ...